Pandas Profiling Report

Dataset statistics

Number of variables	151
Number of observations	42536
Missing cells	3840156
Missing cells (%)	59.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	49.0 MiB
Average record size in memory	1.2 KiB

Variable types

Unsupported	83
Numeric	29
Categorical	35
Boolean	4

Warnings

`pymnt_plan` has constant value "False"	Constant
`initial_list_status` has constant value "False"	Constant
`out_prncp` has constant value "0.0"	Constant
`out_prncp_inv` has constant value "0.0"	Constant
`collections_12_mths_ex_med` has constant value "0.0"	Constant
`policy_code` has constant value "1.0"	Constant
`application_type` has constant value "Individual"	Constant
`chargeoff_within_12_mths` has constant value "0.0"	Constant
`hardship_flag` has constant value "False"	Constant
`disbursement_method` has constant value "Cash"	Constant
`int_rate` has a high cardinality: 394 distinct values	High cardinality
`emp_title` has a high cardinality: 30658 distinct values	High cardinality
`issue_d` has a high cardinality: 55 distinct values	High cardinality
`url` has a high cardinality: 42535 distinct values	High cardinality
`desc` has a high cardinality: 28963 distinct values	High cardinality
`title` has a high cardinality: 21264 distinct values	High cardinality
`zip_code` has a high cardinality: 837 distinct values	High cardinality
`earliest_cr_line` has a high cardinality: 530 distinct values	High cardinality
`revol_util` has a high cardinality: 1119 distinct values	High cardinality
`last_pymnt_d` has a high cardinality: 112 distinct values	High cardinality
`next_pymnt_d` has a high cardinality: 98 distinct values	High cardinality
`last_credit_pull_d` has a high cardinality: 133 distinct values	High cardinality
`debt_settlement_flag_date` has a high cardinality: 63 distinct values	High cardinality
`settlement_date` has a high cardinality: 61 distinct values	High cardinality
`loan_amnt` is highly correlated with `funded_amnt` and 2 other fields	High correlation
`funded_amnt` is highly correlated with `loan_amnt` and 2 other fields	High correlation
`funded_amnt_inv` is highly correlated with `loan_amnt` and 2 other fields	High correlation
`installment` is highly correlated with `loan_amnt` and 1 other fields	High correlation
`fico_range_low` is highly correlated with `fico_range_high`	High correlation
`fico_range_high` is highly correlated with `fico_range_low`	High correlation
`total_pymnt` is highly correlated with `total_pymnt_inv` and 1 other fields	High correlation
`total_pymnt_inv` is highly correlated with `funded_amnt_inv` and 2 other fields	High correlation
`total_rec_prncp` is highly correlated with `total_pymnt` and 1 other fields	High correlation
`term` is highly correlated with `policy_code` and 9 other fields	High correlation
`policy_code` is highly correlated with `term` and 27 other fields	High correlation
`disbursement_method` is highly correlated with `term` and 27 other fields	High correlation
`delinq_amnt` is highly correlated with `policy_code` and 13 other fields	High correlation
`application_type` is highly correlated with `term` and 27 other fields	High correlation
`grade` is highly correlated with `policy_code` and 10 other fields	High correlation
`out_prncp` is highly correlated with `term` and 27 other fields	High correlation
`loan_status` is highly correlated with `policy_code` and 9 other fields	High correlation
`chargeoff_within_12_mths` is highly correlated with `term` and 27 other fields	High correlation
`sub_grade` is highly correlated with `policy_code` and 10 other fields	High correlation
`purpose` is highly correlated with `policy_code` and 9 other fields	High correlation
`acc_now_delinq` is highly correlated with `policy_code` and 13 other fields	High correlation
`settlement_date` is highly correlated with `policy_code` and 14 other fields	High correlation
`next_pymnt_d` is highly correlated with `policy_code` and 10 other fields	High correlation
`collections_12_mths_ex_med` is highly correlated with `term` and 27 other fields	High correlation
`verification_status` is highly correlated with `policy_code` and 9 other fields	High correlation
`pub_rec_bankruptcies` is highly correlated with `policy_code` and 12 other fields	High correlation
`issue_d` is highly correlated with `policy_code` and 9 other fields	High correlation
`addr_state` is highly correlated with `policy_code` and 9 other fields	High correlation
`debt_settlement_flag_date` is highly correlated with `policy_code` and 13 other fields	High correlation
`hardship_flag` is highly correlated with `term` and 27 other fields	High correlation
`pymnt_plan` is highly correlated with `term` and 27 other fields	High correlation
`settlement_status` is highly correlated with `policy_code` and 13 other fields	High correlation
`out_prncp_inv` is highly correlated with `term` and 27 other fields	High correlation
`home_ownership` is highly correlated with `policy_code` and 9 other fields	High correlation
`initial_list_status` is highly correlated with `term` and 27 other fields	High correlation
`tax_liens` is highly correlated with `policy_code` and 13 other fields	High correlation
`emp_length` is highly correlated with `policy_code` and 9 other fields	High correlation
`debt_settlement_flag` is highly correlated with `policy_code` and 12 other fields	High correlation
`member_id` has 42536 (100.0%) missing values	Missing
`emp_title` has 2627 (6.2%) missing values	Missing
`emp_length` has 1113 (2.6%) missing values	Missing
`desc` has 13294 (31.3%) missing values	Missing
`mths_since_last_record` has 38885 (91.4%) missing values	Missing
`next_pymnt_d` has 39787 (93.5%) missing values	Missing
`mths_since_last_major_derog` has 42536 (100.0%) missing values	Missing
`annual_inc_joint` has 42536 (100.0%) missing values	Missing
`dti_joint` has 42536 (100.0%) missing values	Missing
`verification_status_joint` has 42536 (100.0%) missing values	Missing
`tot_coll_amt` has 42536 (100.0%) missing values	Missing
`tot_cur_bal` has 42536 (100.0%) missing values	Missing
`open_acc_6m` has 42536 (100.0%) missing values	Missing
`open_act_il` has 42536 (100.0%) missing values	Missing
`open_il_12m` has 42536 (100.0%) missing values	Missing
`open_il_24m` has 42536 (100.0%) missing values	Missing
`mths_since_rcnt_il` has 42536 (100.0%) missing values	Missing
`total_bal_il` has 42536 (100.0%) missing values	Missing
`il_util` has 42536 (100.0%) missing values	Missing
`open_rv_12m` has 42536 (100.0%) missing values	Missing
`open_rv_24m` has 42536 (100.0%) missing values	Missing
`max_bal_bc` has 42536 (100.0%) missing values	Missing
`all_util` has 42536 (100.0%) missing values	Missing
`total_rev_hi_lim` has 42536 (100.0%) missing values	Missing
`inq_fi` has 42536 (100.0%) missing values	Missing
`total_cu_tl` has 42536 (100.0%) missing values	Missing
`inq_last_12m` has 42536 (100.0%) missing values	Missing
`acc_open_past_24mths` has 42536 (100.0%) missing values	Missing
`avg_cur_bal` has 42536 (100.0%) missing values	Missing
`bc_open_to_buy` has 42536 (100.0%) missing values	Missing
`bc_util` has 42536 (100.0%) missing values	Missing
`mo_sin_old_il_acct` has 42536 (100.0%) missing values	Missing
`mo_sin_old_rev_tl_op` has 42536 (100.0%) missing values	Missing
`mo_sin_rcnt_rev_tl_op` has 42536 (100.0%) missing values	Missing
`mo_sin_rcnt_tl` has 42536 (100.0%) missing values	Missing
`mort_acc` has 42536 (100.0%) missing values	Missing
`mths_since_recent_bc` has 42536 (100.0%) missing values	Missing
`mths_since_recent_bc_dlq` has 42536 (100.0%) missing values	Missing
`mths_since_recent_inq` has 42536 (100.0%) missing values	Missing
`mths_since_recent_revol_delinq` has 42536 (100.0%) missing values	Missing
`num_accts_ever_120_pd` has 42536 (100.0%) missing values	Missing
`num_actv_bc_tl` has 42536 (100.0%) missing values	Missing
`num_actv_rev_tl` has 42536 (100.0%) missing values	Missing
`num_bc_sats` has 42536 (100.0%) missing values	Missing
`num_bc_tl` has 42536 (100.0%) missing values	Missing
`num_il_tl` has 42536 (100.0%) missing values	Missing
`num_op_rev_tl` has 42536 (100.0%) missing values	Missing
`num_rev_accts` has 42536 (100.0%) missing values	Missing
`num_rev_tl_bal_gt_0` has 42536 (100.0%) missing values	Missing
`num_sats` has 42536 (100.0%) missing values	Missing
`num_tl_120dpd_2m` has 42536 (100.0%) missing values	Missing
`num_tl_30dpd` has 42536 (100.0%) missing values	Missing
`num_tl_90g_dpd_24m` has 42536 (100.0%) missing values	Missing
`num_tl_op_past_12m` has 42536 (100.0%) missing values	Missing
`pct_tl_nvr_dlq` has 42536 (100.0%) missing values	Missing
`percent_bc_gt_75` has 42536 (100.0%) missing values	Missing
`pub_rec_bankruptcies` has 1366 (3.2%) missing values	Missing
`tot_hi_cred_lim` has 42536 (100.0%) missing values	Missing
`total_bal_ex_mort` has 42536 (100.0%) missing values	Missing
`total_bc_limit` has 42536 (100.0%) missing values	Missing
`total_il_high_credit_limit` has 42536 (100.0%) missing values	Missing
`revol_bal_joint` has 42536 (100.0%) missing values	Missing
`sec_app_fico_range_low` has 42536 (100.0%) missing values	Missing
`sec_app_fico_range_high` has 42536 (100.0%) missing values	Missing
`sec_app_earliest_cr_line` has 42536 (100.0%) missing values	Missing
`sec_app_inq_last_6mths` has 42536 (100.0%) missing values	Missing
`sec_app_mort_acc` has 42536 (100.0%) missing values	Missing
`sec_app_open_acc` has 42536 (100.0%) missing values	Missing
`sec_app_revol_util` has 42536 (100.0%) missing values	Missing
`sec_app_open_act_il` has 42536 (100.0%) missing values	Missing
`sec_app_num_rev_accts` has 42536 (100.0%) missing values	Missing
`sec_app_chargeoff_within_12_mths` has 42536 (100.0%) missing values	Missing
`sec_app_collections_12_mths_ex_med` has 42536 (100.0%) missing values	Missing
`sec_app_mths_since_last_major_derog` has 42536 (100.0%) missing values	Missing
`hardship_type` has 42536 (100.0%) missing values	Missing
`hardship_reason` has 42536 (100.0%) missing values	Missing
`hardship_status` has 42536 (100.0%) missing values	Missing
`deferral_term` has 42536 (100.0%) missing values	Missing
`hardship_amount` has 42536 (100.0%) missing values	Missing
`hardship_start_date` has 42536 (100.0%) missing values	Missing
`hardship_end_date` has 42536 (100.0%) missing values	Missing
`payment_plan_start_date` has 42536 (100.0%) missing values	Missing
`hardship_length` has 42536 (100.0%) missing values	Missing
`hardship_dpd` has 42536 (100.0%) missing values	Missing
`hardship_loan_status` has 42536 (100.0%) missing values	Missing
`orig_projected_additional_accrued_interest` has 42536 (100.0%) missing values	Missing
`hardship_payoff_balance_amount` has 42536 (100.0%) missing values	Missing
`hardship_last_payment_amount` has 42536 (100.0%) missing values	Missing
`debt_settlement_flag_date` has 42376 (99.6%) missing values	Missing
`settlement_status` has 42376 (99.6%) missing values	Missing
`settlement_date` has 42376 (99.6%) missing values	Missing
`settlement_amount` has 42376 (99.6%) missing values	Missing
`settlement_percentage` has 42376 (99.6%) missing values	Missing
`settlement_term` has 42376 (99.6%) missing values	Missing
`annual_inc` is highly skewed (γ1 = 29.03489277)	Skewed
`collection_recovery_fee` is highly skewed (γ1 = 22.41007601)	Skewed
`url` is uniformly distributed	Uniform
`id` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`member_id` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_last_major_derog` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`annual_inc_joint` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`dti_joint` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`verification_status_joint` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tot_coll_amt` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tot_cur_bal` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_acc_6m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_act_il` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_il_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_il_24m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_rcnt_il` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_bal_il` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`il_util` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_rv_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`open_rv_24m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`max_bal_bc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`all_util` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_rev_hi_lim` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`inq_fi` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_cu_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`inq_last_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`acc_open_past_24mths` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`avg_cur_bal` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bc_open_to_buy` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bc_util` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_old_il_acct` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_old_rev_tl_op` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_rcnt_rev_tl_op` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mo_sin_rcnt_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mort_acc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_bc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_bc_dlq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_inq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`mths_since_recent_revol_delinq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_accts_ever_120_pd` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_actv_bc_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_actv_rev_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_bc_sats` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_bc_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_il_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_op_rev_tl` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_rev_accts` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_rev_tl_bal_gt_0` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_sats` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_120dpd_2m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_30dpd` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_90g_dpd_24m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_tl_op_past_12m` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`pct_tl_nvr_dlq` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`percent_bc_gt_75` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tot_hi_cred_lim` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_bal_ex_mort` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_bc_limit` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`total_il_high_credit_limit` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`revol_bal_joint` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_fico_range_low` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_fico_range_high` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_earliest_cr_line` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_inq_last_6mths` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_mort_acc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_open_acc` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_revol_util` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_open_act_il` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_num_rev_accts` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_chargeoff_within_12_mths` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_collections_12_mths_ex_med` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`sec_app_mths_since_last_major_derog` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_type` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_reason` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_status` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`deferral_term` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_amount` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_start_date` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_end_date` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`payment_plan_start_date` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_length` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_dpd` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_loan_status` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`orig_projected_additional_accrued_interest` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_payoff_balance_amount` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`hardship_last_payment_amount` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`delinq_2yrs` has 37771 (88.8%) zeros	Zeros
`inq_last_6mths` has 19657 (46.2%) zeros	Zeros
`mths_since_last_delinq` has 27748 (65.2%) zeros	Zeros
`mths_since_last_record` has 1275 (3.0%) zeros	Zeros
`pub_rec` has 40130 (94.3%) zeros	Zeros
`revol_bal` has 1119 (2.6%) zeros	Zeros
`total_rec_late_fee` has 40145 (94.4%) zeros	Zeros
`recoveries` has 36176 (85.0%) zeros	Zeros
`collection_recovery_fee` has 38207 (89.8%) zeros	Zeros
`last_fico_range_low` has 795 (1.9%) zeros	Zeros

Reproduction

Analysis started	2021-03-24 08:34:11.327887
Analysis finished	2021-03-24 08:35:56.943725
Duration	1 minute and 45.62 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

id
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	332.4 KiB

member_id
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

loan_amnt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	898
Distinct (%)	2.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	11089.72258
Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5200
median	9700
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9800

Descriptive statistics

Standard deviation	7410.938391
Coefficient of variation (CV)	0.6682708549
Kurtosis	0.7858727169
Mean	11089.72258
Median Absolute Deviation (MAD)	4700
Skewness	1.064970449
Sum	471701350
Variance	54922007.83
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	3016	7.1%
12000	2439	5.7%
5000	2260	5.3%
6000	2037	4.8%
15000	2012	4.7%
20000	1724	4.1%
8000	1699	4.0%
25000	1499	3.5%
4000	1230	2.9%
3000	1134	2.7%
Other values (888)	23485	55.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	11	< 0.1%
550	1	< 0.1%
600	6	< 0.1%
700	3	< 0.1%
725	1	< 0.1%

Value	Count	Frequency (%)
35000	685	1.6%
34800	2	< 0.1%
34675	1	< 0.1%
34525	1	< 0.1%
34475	5	< 0.1%

funded_amnt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1051
Distinct (%)	2.5%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	10821.58575
Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	500
5-th percentile	2275
Q1	5000
median	9600
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	10000

Descriptive statistics

Standard deviation	7146.914675
Coefficient of variation (CV)	0.6604313673
Kurtosis	0.9480112486
Mean	10821.58575
Median Absolute Deviation (MAD)	4600
Skewness	1.085767061
Sum	460296150
Variance	51078389.37
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2924	6.9%
12000	2347	5.5%
5000	2247	5.3%
6000	2023	4.8%
15000	1897	4.5%
8000	1686	4.0%
20000	1546	3.6%
4000	1230	2.9%
25000	1224	2.9%
3000	1125	2.6%
Other values (1041)	24286	57.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	11	< 0.1%
550	1	< 0.1%
600	6	< 0.1%
700	3	< 0.1%
725	1	< 0.1%

Value	Count	Frequency (%)
35000	559	1.3%
34800	1	< 0.1%
34675	2	< 0.1%
34525	1	< 0.1%
34475	4	< 0.1%

funded_amnt_inv
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9248
Distinct (%)	21.7%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	10139.93878
Minimum	0
Maximum	35000
Zeros	233
Zeros (%)	0.5%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1500
Q1	4950
median	8500
Q3	14000
95-th percentile	24575
Maximum	35000
Range	35000
Interquartile range (IQR)	9050

Descriptive statistics

Standard deviation	7131.598014
Coefficient of variation (CV)	0.7033176595
Kurtosis	1.070262642
Mean	10139.93878
Median Absolute Deviation (MAD)	4223.770511
Skewness	1.104831459
Sum	431302296.2
Variance	50859690.23
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	1369	3.2%
10000	1302	3.1%
6000	1240	2.9%
12000	1084	2.5%
8000	929	2.2%
3000	851	2.0%
4000	850	2.0%
15000	664	1.6%
7000	615	1.4%
2000	486	1.1%
Other values (9238)	33145	77.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	233	0.5%
0.000121098108	1	< 0.1%
0.000185369401	1	< 0.1%
0.000242055511	1	< 0.1%
0.000531133069	1	< 0.1%

Value	Count	Frequency (%)
35000	135	0.3%
34997.35245	1	< 0.1%
34993.65539	1	< 0.1%
34993.32571	1	< 0.1%
34993.26306	1	< 0.1%

term
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

36 months	31534
60 months	11001

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	425350
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36 months
2nd row	60 months
3rd row	36 months
4th row	36 months
5th row	60 months

Value	Count	Frequency (%)
36 months	31534	74.1%
60 months	11001	25.9%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
months	42535	50.0%
36	31534	37.1%
60	11001	12.9%

Most occurring characters

Value	Count	Frequency (%)
	85070	20.0%
6	42535	10.0%
m	42535	10.0%
o	42535	10.0%
n	42535	10.0%
t	42535	10.0%
h	42535	10.0%
s	42535	10.0%
3	31534	7.4%
0	11001	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	255210	60.0%
Space Separator	85070	20.0%
Decimal Number	85070	20.0%

Most frequent character per category

Value	Count	Frequency (%)
m	42535	16.7%
o	42535	16.7%
n	42535	16.7%
t	42535	16.7%
h	42535	16.7%
s	42535	16.7%

Value	Count	Frequency (%)
6	42535	50.0%
3	31534	37.1%
0	11001	12.9%

Value	Count	Frequency (%)
	85070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	255210	60.0%
Common	170140	40.0%

Most frequent character per script

Value	Count	Frequency (%)
m	42535	16.7%
o	42535	16.7%
n	42535	16.7%
t	42535	16.7%
h	42535	16.7%
s	42535	16.7%

Value	Count	Frequency (%)
	85070	50.0%
6	42535	25.0%
3	31534	18.5%
0	11001	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	425350	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	85070	20.0%
6	42535	10.0%
m	42535	10.0%
o	42535	10.0%
n	42535	10.0%
t	42535	10.0%
h	42535	10.0%
s	42535	10.0%
3	31534	7.4%
0	11001	2.6%

int_rate
Categorical

HIGH CARDINALITY

Distinct	394
Distinct (%)	0.9%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

10.99%	970
11.49%	837
13.49%	832
7.51%	787
7.88%	742
Other values (389)	38367

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	297745
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	< 0.1%

Sample

1st row	10.65%
2nd row	15.27%
3rd row	15.96%
4th row	13.49%
5th row	12.69%

Value	Count	Frequency (%)
10.99%	970	2.3%
11.49%	837	2.0%
13.49%	832	2.0%
7.51%	787	1.9%
7.88%	742	1.7%
7.49%	656	1.5%
11.71%	609	1.4%
9.99%	607	1.4%
7.90%	582	1.4%
5.42%	573	1.3%
Other values (384)	35340	83.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
10.99	970	2.3%
11.49	837	2.0%
13.49	832	2.0%
7.51	787	1.9%
7.88	742	1.7%
7.49	656	1.5%
11.71	609	1.4%
9.99	607	1.4%
7.90	582	1.4%
5.42	573	1.3%
Other values (384)	35340	83.1%

Most occurring characters

Value	Count	Frequency (%)
	54877	18.4%
.	42535	14.3%
%	42535	14.3%
1	41594	14.0%
9	22648	7.6%
2	13727	4.6%
6	12870	4.3%
7	12841	4.3%
4	12024	4.0%
3	10961	3.7%
Other values (3)	31133	10.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157798	53.0%
Other Punctuation	85070	28.6%
Space Separator	54877	18.4%

Most frequent character per category

Value	Count	Frequency (%)
1	41594	26.4%
9	22648	14.4%
2	13727	8.7%
6	12870	8.2%
7	12841	8.1%
4	12024	7.6%
3	10961	6.9%
5	10910	6.9%
8	10329	6.5%
0	9894	6.3%

Value	Count	Frequency (%)
.	42535	50.0%
%	42535	50.0%

Value	Count	Frequency (%)
	54877	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	297745	100.0%

Most frequent character per script

Value	Count	Frequency (%)
	54877	18.4%
.	42535	14.3%
%	42535	14.3%
1	41594	14.0%
9	22648	7.6%
2	13727	4.6%
6	12870	4.3%
7	12841	4.3%
4	12024	4.0%
3	10961	3.7%
Other values (3)	31133	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	297745	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	54877	18.4%
.	42535	14.3%
%	42535	14.3%
1	41594	14.0%
9	22648	7.6%
2	13727	4.6%
6	12870	4.3%
7	12841	4.3%
4	12024	4.0%
3	10961	3.7%
Other values (3)	31133	10.5%

installment
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16459
Distinct (%)	38.7%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	322.6230627
Minimum	15.67
Maximum	1305.19
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	15.67
5-th percentile	69.681
Q1	165.52
median	277.69
Q3	428.18
95-th percentile	762.08
Maximum	1305.19
Range	1289.52
Interquartile range (IQR)	262.66

Descriptive statistics

Standard deviation	208.9272165
Coefficient of variation (CV)	0.6475892169
Kurtosis	1.20456977
Mean	322.6230627
Median Absolute Deviation (MAD)	122.18
Skewness	1.125240144
Sum	13722771.97
Variance	43650.58179
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
311.11	68	0.2%
180.96	59	0.1%
311.02	54	0.1%
150.8	48	0.1%
368.45	46	0.1%
372.12	45	0.1%
330.76	43	0.1%
317.72	42	0.1%
339.31	42	0.1%
186.61	41	0.1%
Other values (16449)	42047	98.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15.67	1	< 0.1%
15.69	1	< 0.1%
15.75	1	< 0.1%
15.76	1	< 0.1%
15.91	1	< 0.1%

Value	Count	Frequency (%)
1305.19	1	< 0.1%
1302.69	1	< 0.1%
1295.21	1	< 0.1%
1288.1	2	< 0.1%
1283.5	1	< 0.1%

grade
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

B	12389
A	10183
C	8740
D	6016
E	3394
Other values (2)	1813

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	42535
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	C
3rd row	C
4th row	C
5th row	B

Value	Count	Frequency (%)
B	12389	29.1%
A	10183	23.9%
C	8740	20.5%
D	6016	14.1%
E	3394	8.0%
F	1301	3.1%
G	512	1.2%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
b	12389	29.1%
a	10183	23.9%
c	8740	20.5%
d	6016	14.1%
e	3394	8.0%
f	1301	3.1%
g	512	1.2%

Most occurring characters

Value	Count	Frequency (%)
B	12389	29.1%
A	10183	23.9%
C	8740	20.5%
D	6016	14.1%
E	3394	8.0%
F	1301	3.1%
G	512	1.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	42535	100.0%

Most frequent character per category

Value	Count	Frequency (%)
B	12389	29.1%
A	10183	23.9%
C	8740	20.5%
D	6016	14.1%
E	3394	8.0%
F	1301	3.1%
G	512	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42535	100.0%

Most frequent character per script

Value	Count	Frequency (%)
B	12389	29.1%
A	10183	23.9%
C	8740	20.5%
D	6016	14.1%
E	3394	8.0%
F	1301	3.1%
G	512	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42535	100.0%

Most frequent character per block

Value	Count	Frequency (%)
B	12389	29.1%
A	10183	23.9%
C	8740	20.5%
D	6016	14.1%
E	3394	8.0%
F	1301	3.1%
G	512	1.2%

sub_grade
Categorical

HIGH CORRELATION

Distinct	35
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

B3	2997
A4	2905
B5	2807
A5	2793
B4	2590
Other values (30)	28443

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	85070
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B2
2nd row	C4
3rd row	C5
4th row	C1
5th row	B5

Value	Count	Frequency (%)
B3	2997	7.0%
A4	2905	6.8%
B5	2807	6.6%
A5	2793	6.6%
B4	2590	6.1%
C1	2264	5.3%
C2	2157	5.1%
B2	2113	5.0%
B1	1882	4.4%
A3	1823	4.3%
Other values (25)	18204	42.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
b3	2997	7.0%
a4	2905	6.8%
b5	2807	6.6%
a5	2793	6.6%
b4	2590	6.1%
c1	2264	5.3%
c2	2157	5.1%
b2	2113	5.0%
b1	1882	4.4%
a3	1823	4.3%
Other values (25)	18204	42.8%

Most occurring characters

Value	Count	Frequency (%)
B	12389	14.6%
A	10183	12.0%
4	8867	10.4%
3	8783	10.3%
C	8740	10.3%
5	8646	10.2%
2	8481	10.0%
1	7758	9.1%
D	6016	7.1%
E	3394	4.0%
Other values (2)	1813	2.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	42535	50.0%
Decimal Number	42535	50.0%

Most frequent character per category

Value	Count	Frequency (%)
B	12389	29.1%
A	10183	23.9%
C	8740	20.5%
D	6016	14.1%
E	3394	8.0%
F	1301	3.1%
G	512	1.2%

Value	Count	Frequency (%)
4	8867	20.8%
3	8783	20.6%
5	8646	20.3%
2	8481	19.9%
1	7758	18.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42535	50.0%
Common	42535	50.0%

Most frequent character per script

Value	Count	Frequency (%)
B	12389	29.1%
A	10183	23.9%
C	8740	20.5%
D	6016	14.1%
E	3394	8.0%
F	1301	3.1%
G	512	1.2%

Value	Count	Frequency (%)
4	8867	20.8%
3	8783	20.6%
5	8646	20.3%
2	8481	19.9%
1	7758	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85070	100.0%

Most frequent character per block

Value	Count	Frequency (%)
B	12389	14.6%
A	10183	12.0%
4	8867	10.4%
3	8783	10.3%
C	8740	10.3%
5	8646	10.2%
2	8481	10.0%
1	7758	9.1%
D	6016	7.1%
E	3394	4.0%
Other values (2)	1813	2.1%

emp_title
Categorical

HIGH CARDINALITY
MISSING

Distinct	30658
Distinct (%)	76.8%
Missing	2627
Missing (%)	6.2%
Memory size	332.4 KiB

US Army	139
Bank of America	115
IBM	72
AT&T	61
Kaiser Permanente	61
Other values (30653)	39461

Length

Max length	78
Median length	18
Mean length	18.34325591
Min length	2

Characters and Unicode

Total characters	732061
Distinct characters	96
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27187 ?
Unique (%)	68.1%

Sample

1st row	Ryder
2nd row	AIR RESOURCES BOARD
3rd row	University Medical Group
4th row	Veolia Transportaton
5th row	Southern Star Photography

Value	Count	Frequency (%)
US Army	139	0.3%
Bank of America	115	0.3%
IBM	72	0.2%
AT&T	61	0.1%
Kaiser Permanente	61	0.1%
UPS	58	0.1%
Wells Fargo	57	0.1%
USAF	56	0.1%
US Air Force	55	0.1%
Self Employed	49	0.1%
Other values (30648)	39186	92.1%
(Missing)	2627	6.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
inc	3403	3.2%
of	3200	3.0%
	1283	1.2%
and	1035	1.0%
services	868	0.8%
center	865	0.8%
bank	850	0.8%
county	846	0.8%
the	797	0.7%
school	794	0.7%
Other values (19749)	93627	87.0%

Most occurring characters

Value	Count	Frequency (%)
	69179	9.4%
e	59921	8.2%
a	46810	6.4%
n	45589	6.2%
o	45451	6.2%
i	43260	5.9%
r	42878	5.9%
t	41183	5.6%
s	32500	4.4%
l	27700	3.8%
Other values (86)	277590	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	523195	71.5%
Uppercase Letter	127793	17.5%
Space Separator	69179	9.4%
Other Punctuation	9393	1.3%
Dash Punctuation	1098	0.1%
Decimal Number	1026	0.1%
Open Punctuation	172	< 0.1%
Close Punctuation	169	< 0.1%
Math Symbol	23	< 0.1%
Currency Symbol	3	< 0.1%
Other values (5)	10	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
C	15540	12.2%
S	14246	11.1%
A	9494	7.4%
I	8073	6.3%
M	6955	5.4%
P	6470	5.1%
T	6122	4.8%
L	5978	4.7%
E	5635	4.4%
D	5406	4.2%
Other values (18)	43874	34.3%

Value	Count	Frequency (%)
e	59921	11.5%
a	46810	8.9%
n	45589	8.7%
o	45451	8.7%
i	43260	8.3%
r	42878	8.2%
t	41183	7.9%
s	32500	6.2%
l	27700	5.3%
c	24704	4.7%
Other values (17)	113199	21.6%

Value	Count	Frequency (%)
.	4560	48.5%
,	2341	24.9%
&	1381	14.7%
'	688	7.3%
/	334	3.6%
#	37	0.4%
@	10	0.1%
!	9	0.1%
:	9	0.1%
"	8	0.1%
Other values (5)	16	0.2%

Value	Count	Frequency (%)
1	204	19.9%
2	170	16.6%
3	162	15.8%
0	105	10.2%
4	99	9.6%
5	75	7.3%
9	68	6.6%
6	61	5.9%
7	47	4.6%
8	35	3.4%

Value	Count	Frequency (%)
+	20	87.0%
\|	2	8.7%
<	1	4.3%

Value	Count	Frequency (%)
(	171	99.4%
[	1	0.6%

Value	Count	Frequency (%)
	1	50.0%
	1	50.0%

Value	Count	Frequency (%)
$	2	66.7%
¢	1	33.3%

Value	Count	Frequency (%)
	69179	100.0%

Value	Count	Frequency (%)
-	1098	100.0%

Value	Count	Frequency (%)
)	169	100.0%

Value	Count	Frequency (%)
©	2	100.0%

Value	Count	Frequency (%)
`	2	100.0%

Value	Count	Frequency (%)
_	2	100.0%

Value	Count	Frequency (%)
²	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	650988	88.9%
Common	81073	11.1%

Most frequent character per script

Value	Count	Frequency (%)
e	59921	9.2%
a	46810	7.2%
n	45589	7.0%
o	45451	7.0%
i	43260	6.6%
r	42878	6.6%
t	41183	6.3%
s	32500	5.0%
l	27700	4.3%
c	24704	3.8%
Other values (45)	240992	37.0%

Value	Count	Frequency (%)
	69179	85.3%
.	4560	5.6%
,	2341	2.9%
&	1381	1.7%
-	1098	1.4%
'	688	0.8%
/	334	0.4%
1	204	0.3%
(	171	0.2%
2	170	0.2%
Other values (31)	947	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	732047	> 99.9%
None	14	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	69179	9.5%
e	59921	8.2%
a	46810	6.4%
n	45589	6.2%
o	45451	6.2%
i	43260	5.9%
r	42878	5.9%
t	41183	5.6%
s	32500	4.4%
l	27700	3.8%
Other values (77)	277576	37.9%

Value	Count	Frequency (%)
Ã	3	21.4%
©	2	14.3%
Â	2	14.3%
²	2	14.3%
â	1	7.1%
	1	7.1%
¢	1	7.1%
	1	7.1%
¡	1	7.1%

emp_length
Categorical

HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	< 0.1%
Missing	1113
Missing (%)	2.6%
Memory size	332.4 KiB

10+ years	9369
< 1 year	5062
2 years	4743
3 years	4364
4 years	3649
Other values (6)	14236

Length

Max length	9
Median length	7
Mean length	7.487772494
Min length	6

Characters and Unicode

Total characters	310166
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10+ years
2nd row	< 1 year
3rd row	10+ years
4th row	10+ years
5th row	1 year

Value	Count	Frequency (%)
10+ years	9369	22.0%
< 1 year	5062	11.9%
2 years	4743	11.2%
3 years	4364	10.3%
4 years	3649	8.6%
1 year	3595	8.5%
5 years	3458	8.1%
6 years	2375	5.6%
7 years	1875	4.4%
8 years	1592	3.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
years	32766	37.3%
10	9369	10.7%
1	8657	9.8%
year	8657	9.8%
	5062	5.8%
2	4743	5.4%
3	4364	5.0%
4	3649	4.2%
5	3458	3.9%
6	2375	2.7%
Other values (3)	4808	5.5%

Most occurring characters

Value	Count	Frequency (%)
	46485	15.0%
y	41423	13.4%
e	41423	13.4%
a	41423	13.4%
r	41423	13.4%
s	32766	10.6%
1	18026	5.8%
0	9369	3.0%
+	9369	3.0%
<	5062	1.6%
Other values (8)	23397	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	198458	64.0%
Decimal Number	50792	16.4%
Space Separator	46485	15.0%
Math Symbol	14431	4.7%

Most frequent character per category

Value	Count	Frequency (%)
1	18026	35.5%
0	9369	18.4%
2	4743	9.3%
3	4364	8.6%
4	3649	7.2%
5	3458	6.8%
6	2375	4.7%
7	1875	3.7%
8	1592	3.1%
9	1341	2.6%

Value	Count	Frequency (%)
y	41423	20.9%
e	41423	20.9%
a	41423	20.9%
r	41423	20.9%
s	32766	16.5%

Value	Count	Frequency (%)
+	9369	64.9%
<	5062	35.1%

Value	Count	Frequency (%)
	46485	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198458	64.0%
Common	111708	36.0%

Most frequent character per script

Value	Count	Frequency (%)
	46485	41.6%
1	18026	16.1%
0	9369	8.4%
+	9369	8.4%
<	5062	4.5%
2	4743	4.2%
3	4364	3.9%
4	3649	3.3%
5	3458	3.1%
6	2375	2.1%
Other values (3)	4808	4.3%

Value	Count	Frequency (%)
y	41423	20.9%
e	41423	20.9%
a	41423	20.9%
r	41423	20.9%
s	32766	16.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	310166	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	46485	15.0%
y	41423	13.4%
e	41423	13.4%
a	41423	13.4%
r	41423	13.4%
s	32766	10.6%
1	18026	5.8%
0	9369	3.0%
+	9369	3.0%
<	5062	1.6%
Other values (8)	23397	7.5%

home_ownership
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

RENT	20181
MORTGAGE	18959
OWN	3251
OTHER	136
NONE	8

Length

Max length	8
Median length	4
Mean length	5.709674386
Min length	3

Characters and Unicode

Total characters	242861
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RENT
2nd row	RENT
3rd row	RENT
4th row	RENT
5th row	RENT

Value	Count	Frequency (%)
RENT	20181	47.4%
MORTGAGE	18959	44.6%
OWN	3251	7.6%
OTHER	136	0.3%
NONE	8	< 0.1%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
rent	20181	47.4%
mortgage	18959	44.6%
own	3251	7.6%
other	136	0.3%
none	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	39284	16.2%
R	39276	16.2%
T	39276	16.2%
G	37918	15.6%
N	23448	9.7%
O	22354	9.2%
M	18959	7.8%
A	18959	7.8%
W	3251	1.3%
H	136	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	242861	100.0%

Most frequent character per category

Value	Count	Frequency (%)
E	39284	16.2%
R	39276	16.2%
T	39276	16.2%
G	37918	15.6%
N	23448	9.7%
O	22354	9.2%
M	18959	7.8%
A	18959	7.8%
W	3251	1.3%
H	136	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	242861	100.0%

Most frequent character per script

Value	Count	Frequency (%)
E	39284	16.2%
R	39276	16.2%
T	39276	16.2%
G	37918	15.6%
N	23448	9.7%
O	22354	9.2%
M	18959	7.8%
A	18959	7.8%
W	3251	1.3%
H	136	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	242861	100.0%

Most frequent character per block

Value	Count	Frequency (%)
E	39284	16.2%
R	39276	16.2%
T	39276	16.2%
G	37918	15.6%
N	23448	9.7%
O	22354	9.2%
M	18959	7.8%
A	18959	7.8%
W	3251	1.3%
H	136	0.1%

annual_inc
Real number (ℝ_≥0)

SKEWED

Distinct	5597
Distinct (%)	13.2%
Missing	5
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	69136.55642
Minimum	1896
Maximum	6000000
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	1896
5-th percentile	24000
Q1	40000
median	59000
Q3	82500
95-th percentile	144000
Maximum	6000000
Range	5998104
Interquartile range (IQR)	42500

Descriptive statistics

Standard deviation	64096.34972
Coefficient of variation (CV)	0.9270978052
Kurtosis	2117.344597
Mean	69136.55642
Median Absolute Deviation (MAD)	20000
Skewness	29.03489277
Sum	2940446881
Variance	4108342047
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	1591	3.7%
50000	1119	2.6%
40000	935	2.2%
45000	898	2.1%
30000	884	2.1%
75000	865	2.0%
65000	840	2.0%
70000	790	1.9%
48000	766	1.8%
80000	718	1.7%
Other values (5587)	33125	77.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1896	1	< 0.1%
2000	1	< 0.1%
3300	1	< 0.1%
3500	1	< 0.1%
3600	1	< 0.1%

Value	Count	Frequency (%)
6000000	1	< 0.1%
3900000	1	< 0.1%
2039784	1	< 0.1%
1900000	1	< 0.1%
1782000	1	< 0.1%

verification_status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

Not Verified	18758
Verified	13471
Source Verified	10306

Length

Max length	15
Median length	12
Mean length	11.46006818
Min length	8

Characters and Unicode

Total characters	487454
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Verified
2nd row	Source Verified
3rd row	Not Verified
4th row	Source Verified
5th row	Source Verified

Value	Count	Frequency (%)
Not Verified	18758	44.1%
Verified	13471	31.7%
Source Verified	10306	24.2%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
verified	42535	59.4%
not	18758	26.2%
source	10306	14.4%

Most occurring characters

Value	Count	Frequency (%)
e	95376	19.6%
i	85070	17.5%
r	52841	10.8%
V	42535	8.7%
f	42535	8.7%
d	42535	8.7%
o	29064	6.0%
	29064	6.0%
N	18758	3.8%
t	18758	3.8%
Other values (3)	30918	6.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	386791	79.3%
Uppercase Letter	71599	14.7%
Space Separator	29064	6.0%

Most frequent character per category

Value	Count	Frequency (%)
e	95376	24.7%
i	85070	22.0%
r	52841	13.7%
f	42535	11.0%
d	42535	11.0%
o	29064	7.5%
t	18758	4.8%
u	10306	2.7%
c	10306	2.7%

Value	Count	Frequency (%)
V	42535	59.4%
N	18758	26.2%
S	10306	14.4%

Value	Count	Frequency (%)
	29064	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	458390	94.0%
Common	29064	6.0%

Most frequent character per script

Value	Count	Frequency (%)
e	95376	20.8%
i	85070	18.6%
r	52841	11.5%
V	42535	9.3%
f	42535	9.3%
d	42535	9.3%
o	29064	6.3%
N	18758	4.1%
t	18758	4.1%
S	10306	2.2%
Other values (2)	20612	4.5%

Value	Count	Frequency (%)
	29064	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	487454	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	95376	19.6%
i	85070	17.5%
r	52841	10.8%
V	42535	8.7%
f	42535	8.7%
d	42535	8.7%
o	29064	6.0%
	29064	6.0%
N	18758	3.8%
t	18758	3.8%
Other values (3)	30918	6.3%

issue_d
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	55
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

Dec-2011	2267
Nov-2011	2232
Oct-2011	2118
Sep-2011	2067
Aug-2011	1934
Other values (50)	31917

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	340280
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dec-2011
2nd row	Dec-2011
3rd row	Dec-2011
4th row	Dec-2011
5th row	Dec-2011

Value	Count	Frequency (%)
Dec-2011	2267	5.3%
Nov-2011	2232	5.2%
Oct-2011	2118	5.0%
Sep-2011	2067	4.9%
Aug-2011	1934	4.5%
Jul-2011	1875	4.4%
Jun-2011	1835	4.3%
May-2011	1704	4.0%
Apr-2011	1563	3.7%
Mar-2011	1448	3.4%
Other values (45)	23492	55.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
dec-2011	2267	5.3%
nov-2011	2232	5.2%
oct-2011	2118	5.0%
sep-2011	2067	4.9%
aug-2011	1934	4.5%
jul-2011	1875	4.4%
jun-2011	1835	4.3%
may-2011	1704	4.0%
apr-2011	1563	3.7%
mar-2011	1448	3.4%
Other values (45)	23492	55.2%

Most occurring characters

Value	Count	Frequency (%)
0	63349	18.6%
1	55979	16.5%
-	42535	12.5%
2	42535	12.5%
e	11146	3.3%
u	10917	3.2%
J	9804	2.9%
c	8866	2.6%
a	8785	2.6%
p	6940	2.0%
Other values (19)	79424	23.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	170140	50.0%
Lowercase Letter	85070	25.0%
Uppercase Letter	42535	12.5%
Dash Punctuation	42535	12.5%

Most frequent character per category

Value	Count	Frequency (%)
e	11146	13.1%
u	10917	12.8%
c	8866	10.4%
a	8785	10.3%
p	6940	8.2%
n	6110	7.2%
r	6069	7.1%
o	4439	5.2%
v	4439	5.2%
t	4181	4.9%
Other values (4)	13178	15.5%

Value	Count	Frequency (%)
J	9804	23.0%
A	6796	16.0%
M	6169	14.5%
D	4685	11.0%
N	4439	10.4%
O	4181	9.8%
S	3873	9.1%
F	2588	6.1%

Value	Count	Frequency (%)
0	63349	37.2%
1	55979	32.9%
2	42535	25.0%
9	5281	3.1%
8	2393	1.4%
7	603	0.4%

Value	Count	Frequency (%)
-	42535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	212675	62.5%
Latin	127605	37.5%

Most frequent character per script

Value	Count	Frequency (%)
e	11146	8.7%
u	10917	8.6%
J	9804	7.7%
c	8866	6.9%
a	8785	6.9%
p	6940	5.4%
A	6796	5.3%
M	6169	4.8%
n	6110	4.8%
r	6069	4.8%
Other values (12)	46003	36.1%

Value	Count	Frequency (%)
0	63349	29.8%
1	55979	26.3%
-	42535	20.0%
2	42535	20.0%
9	5281	2.5%
8	2393	1.1%
7	603	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	340280	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	63349	18.6%
1	55979	16.5%
-	42535	12.5%
2	42535	12.5%
e	11146	3.3%
u	10917	3.2%
J	9804	2.9%
c	8866	2.6%
a	8785	2.6%
p	6940	2.0%
Other values (19)	79424	23.3%

loan_status
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

Fully Paid	34116
Charged Off	5670
Does not meet the credit policy. Status:Fully Paid	1988
Does not meet the credit policy. Status:Charged Off	761

Length

Max length	51
Median length	10
Mean length	12.73635829
Min length	10

Characters and Unicode

Total characters	541741
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fully Paid
2nd row	Charged Off
3rd row	Fully Paid
4th row	Fully Paid
5th row	Fully Paid

Value	Count	Frequency (%)
Fully Paid	34116	80.2%
Charged Off	5670	13.3%
Does not meet the credit policy. Status:Fully Paid	1988	4.7%
Does not meet the credit policy. Status:Charged Off	761	1.8%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
paid	36104	35.5%
fully	34116	33.6%
off	6431	6.3%
charged	5670	5.6%
credit	2749	2.7%
meet	2749	2.7%
the	2749	2.7%
policy	2749	2.7%
not	2749	2.7%
does	2749	2.7%
Other values (2)	2749	2.7%

Most occurring characters

Value	Count	Frequency (%)
l	74957	13.8%
	59029	10.9%
a	45284	8.4%
d	45284	8.4%
i	41602	7.7%
u	38853	7.2%
y	38853	7.2%
F	36104	6.7%
P	36104	6.7%
e	20176	3.7%
Other values (17)	105495	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	386646	71.4%
Uppercase Letter	90568	16.7%
Space Separator	59029	10.9%
Other Punctuation	5498	1.0%

Most frequent character per category

Value	Count	Frequency (%)
l	74957	19.4%
a	45284	11.7%
d	45284	11.7%
i	41602	10.8%
u	38853	10.0%
y	38853	10.0%
e	20176	5.2%
t	16494	4.3%
f	12862	3.3%
h	9180	2.4%
Other values (8)	43101	11.1%

Value	Count	Frequency (%)
F	36104	39.9%
P	36104	39.9%
C	6431	7.1%
O	6431	7.1%
D	2749	3.0%
S	2749	3.0%

Value	Count	Frequency (%)
.	2749	50.0%
:	2749	50.0%

Value	Count	Frequency (%)
	59029	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	477214	88.1%
Common	64527	11.9%

Most frequent character per script

Value	Count	Frequency (%)
l	74957	15.7%
a	45284	9.5%
d	45284	9.5%
i	41602	8.7%
u	38853	8.1%
y	38853	8.1%
F	36104	7.6%
P	36104	7.6%
e	20176	4.2%
t	16494	3.5%
Other values (14)	83503	17.5%

Value	Count	Frequency (%)
	59029	91.5%
.	2749	4.3%
:	2749	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	541741	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	74957	13.8%
	59029	10.9%
a	45284	8.4%
d	45284	8.4%
i	41602	7.7%
u	38853	7.2%
y	38853	7.2%
F	36104	6.7%
P	36104	6.7%
e	20176	3.7%
Other values (17)	105495	19.5%

pymnt_plan
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	83.2 KiB

False	42535
(Missing)	1

Common Values
Chart

Value	Count	Frequency (%)
False	42535	> 99.9%
(Missing)	1	< 0.1%

url
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	42535
Distinct (%)	100.0%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

https://lendingclub.com/browse/loanDetail.action?loan_id=460307	1
https://lendingclub.com/browse/loanDetail.action?loan_id=483102	1
https://lendingclub.com/browse/loanDetail.action?loan_id=764195	1
https://lendingclub.com/browse/loanDetail.action?loan_id=993479	1
https://lendingclub.com/browse/loanDetail.action?loan_id=1049647	1
Other values (42530)	42530

Length

Max length	64
Median length	63
Mean length	63.10008229
Min length	62

Characters and Unicode

Total characters	2683962
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42535 ?
Unique (%)	100.0%

Sample

1st row	https://lendingclub.com/browse/loanDetail.action?loan_id=1077501
2nd row	https://lendingclub.com/browse/loanDetail.action?loan_id=1077430
3rd row	https://lendingclub.com/browse/loanDetail.action?loan_id=1077175
4th row	https://lendingclub.com/browse/loanDetail.action?loan_id=1076863
5th row	https://lendingclub.com/browse/loanDetail.action?loan_id=1075358

Value	Count	Frequency (%)
https://lendingclub.com/browse/loanDetail.action?loan_id=460307	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=483102	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=764195	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=993479	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=1049647	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=633056	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=750212	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=756297	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=888556	1	< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=868759	1	< 0.1%
Other values (42525)	42525	> 99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
https://lendingclub.com/browse/loandetail.action?loan_id=503393	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=347228	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=674225	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=363367	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=539607	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=565387	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=747483	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=365927	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=1014573	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=414134	1	< 0.1%
Other values (42525)	42525	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
l	212675	7.9%
n	212675	7.9%
o	212675	7.9%
t	170140	6.3%
/	170140	6.3%
i	170140	6.3%
a	170140	6.3%
e	127605	4.8%
c	127605	4.8%
s	85070	3.2%
Other values (25)	1025097	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1956610	72.9%
Other Punctuation	340280	12.7%
Decimal Number	259467	9.7%
Uppercase Letter	42535	1.6%
Connector Punctuation	42535	1.6%
Math Symbol	42535	1.6%

Most frequent character per category

Value	Count	Frequency (%)
l	212675	10.9%
n	212675	10.9%
o	212675	10.9%
t	170140	8.7%
i	170140	8.7%
a	170140	8.7%
e	127605	6.5%
c	127605	6.5%
s	85070	4.3%
d	85070	4.3%
Other values (8)	382815	19.6%

Value	Count	Frequency (%)
5	28614	11.0%
6	28238	10.9%
4	27659	10.7%
7	27532	10.6%
8	27202	10.5%
1	25851	10.0%
0	25228	9.7%
3	24043	9.3%
9	23116	8.9%
2	21984	8.5%

Value	Count	Frequency (%)
/	170140	50.0%
.	85070	25.0%
:	42535	12.5%
?	42535	12.5%

Value	Count	Frequency (%)
D	42535	100.0%

Value	Count	Frequency (%)
_	42535	100.0%

Value	Count	Frequency (%)
=	42535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1999145	74.5%
Common	684817	25.5%

Most frequent character per script

Value	Count	Frequency (%)
l	212675	10.6%
n	212675	10.6%
o	212675	10.6%
t	170140	8.5%
i	170140	8.5%
a	170140	8.5%
e	127605	6.4%
c	127605	6.4%
s	85070	4.3%
d	85070	4.3%
Other values (9)	425350	21.3%

Value	Count	Frequency (%)
/	170140	24.8%
.	85070	12.4%
:	42535	6.2%
?	42535	6.2%
_	42535	6.2%
=	42535	6.2%
5	28614	4.2%
6	28238	4.1%
4	27659	4.0%
7	27532	4.0%
Other values (6)	147424	21.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2683962	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	212675	7.9%
n	212675	7.9%
o	212675	7.9%
t	170140	6.3%
/	170140	6.3%
i	170140	6.3%
a	170140	6.3%
e	127605	4.8%
c	127605	4.8%
s	85070	3.2%
Other values (25)	1025097	38.2%

desc
Categorical

HIGH CARDINALITY
MISSING

Distinct	28963
Distinct (%)	99.0%
Missing	13294
Missing (%)	31.3%
Memory size	332.4 KiB

	225
Debt Consolidation	11
Camping Membership	8
refinancing	5
credit card consolidation	3
Other values (28958)	28990

Length

Max length	3988
Median length	281
Mean length	423.4260311
Min length	1

Characters and Unicode

Total characters	12381824
Distinct characters	142
Distinct categories	17 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28931 ?
Unique (%)	98.9%

Sample

1st row	Borrower added on 12/22/11 > I need to upgrade my business technologies.<br>
2nd row	Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike. I only need this money because the deal im looking at is to good to pass up.<br><br> Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike.I only need this money because the deal im looking at is to good to pass up. I have finished college with an associates degree in business and its takingmeplaces<br>
3rd row	Borrower added on 12/21/11 > to pay for property tax (borrow from friend, need to pay back) & central A/C need to be replace. I'm very sorry to let my loan expired last time.<br>
4th row	Borrower added on 12/21/11 > I plan on combining three large interest bills together and freeing up some extra each month to pay toward other bills. I've always been a good payor but have found myself needing to make adjustments to my budget due to a medical scare. My job is very stable, I love it.<br>
5th row	Borrower added on 12/18/11 > I am planning on using the funds to pay off two retail credit cards with 24.99% interest rates, as well as a major bank credit card with a 18.99% rate. I pay all my bills on time, looking for a lower combined payment and lower monthly payment.<br>

Value	Count	Frequency (%)
	225	0.5%
Debt Consolidation	11	< 0.1%
Camping Membership	8	< 0.1%
refinancing	5	< 0.1%
credit card consolidation	3	< 0.1%
consolidate debt	3	< 0.1%
personal loan	3	< 0.1%
credit card debt consolidation	3	< 0.1%
Personal Loan	3	< 0.1%
debt consolidation	3	< 0.1%
Other values (28953)	28975	68.1%
(Missing)	13294	31.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
i	85087	3.8%
to	77670	3.5%
a	60001	2.7%
and	59305	2.7%
the	59159	2.7%
my	55839	2.5%
on	51981	2.3%
	39157	1.8%
for	35488	1.6%
have	35150	1.6%
Other values (56778)	1668318	74.9%

Most occurring characters

Value	Count	Frequency (%)
	2303677	18.6%
e	1036186	8.4%
a	775912	6.3%
o	767722	6.2%
t	707444	5.7%
n	664469	5.4%
r	634406	5.1%
i	540140	4.4%
s	464080	3.7%
d	428929	3.5%
Other values (132)	4058859	32.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8832480	71.3%
Space Separator	2303751	18.6%
Decimal Number	368643	3.0%
Other Punctuation	350646	2.8%
Uppercase Letter	329296	2.7%
Math Symbol	146513	1.2%
Currency Symbol	18187	0.1%
Dash Punctuation	14304	0.1%
Close Punctuation	7970	0.1%
Open Punctuation	7305	0.1%
Other values (7)	2729	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
I	103385	31.4%
B	36481	11.1%
T	30887	9.4%
A	17040	5.2%
M	15514	4.7%
C	15439	4.7%
S	10680	3.2%
E	10134	3.1%
W	9701	2.9%
L	9398	2.9%
Other values (21)	70637	21.5%

Value	Count	Frequency (%)
e	1036186	11.7%
a	775912	8.8%
o	767722	8.7%
t	707444	8.0%
n	664469	7.5%
r	634406	7.2%
i	540140	6.1%
s	464080	5.3%
d	428929	4.9%
l	386876	4.4%
Other values (18)	2426316	27.5%

Value	Count	Frequency (%)
.	131381	37.5%
/	121672	34.7%
,	54749	15.6%
'	14495	4.1%
!	7335	2.1%
%	6191	1.8%
:	5814	1.7%
;	3493	1.0%
&	2753	0.8%
"	925	0.3%
Other values (10)	1838	0.5%

Value	Count	Frequency (%)
	1318	60.2%
	426	19.5%
	200	9.1%
	38	1.7%
	38	1.7%
	35	1.6%
	29	1.3%
	27	1.2%
	25	1.1%
	15	0.7%
Other values (9)	39	1.8%

Value	Count	Frequency (%)
0	111941	30.4%
1	101613	27.6%
2	39139	10.6%
5	23226	6.3%
3	19094	5.2%
9	17472	4.7%
4	14581	4.0%
6	14099	3.8%
7	13782	3.7%
8	13696	3.7%

Value	Count	Frequency (%)
>	88381	60.3%
<	56071	38.3%
+	1055	0.7%
=	647	0.4%
~	318	0.2%
¬	31	< 0.1%
\|	10	< 0.1%

Value	Count	Frequency (%)
¦	97	80.2%
©	15	12.4%
�	7	5.8%
®	2	1.7%

Value	Count	Frequency (%)
(	7258	99.4%
[	44	0.6%
{	3	< 0.1%

Value	Count	Frequency (%)
)	7922	99.4%
]	44	0.6%
}	4	0.1%

Value	Count	Frequency (%)
-	14285	99.9%
–	10	0.1%
—	9	0.1%

Value	Count	Frequency (%)
`	13	68.4%
^	5	26.3%
¯	1	5.3%

Value	Count	Frequency (%)
	2303677	> 99.9%
	74	< 0.1%

Value	Count	Frequency (%)
$	18113	99.6%
¢	74	0.4%

Value	Count	Frequency (%)
½	7	77.8%
¾	2	22.2%

Value	Count	Frequency (%)
’	90	83.3%
”	18	16.7%

Value	Count	Frequency (%)
“	18	85.7%
‘	3	14.3%

Value	Count	Frequency (%)
_	261	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9161776	74.0%
Common	3220048	26.0%

Most frequent character per script

Value	Count	Frequency (%)
	2303677	71.5%
.	131381	4.1%
/	121672	3.8%
0	111941	3.5%
1	101613	3.2%
>	88381	2.7%
<	56071	1.7%
,	54749	1.7%
2	39139	1.2%
5	23226	0.7%
Other values (73)	188198	5.8%

Value	Count	Frequency (%)
e	1036186	11.3%
a	775912	8.5%
o	767722	8.4%
t	707444	7.7%
n	664469	7.3%
r	634406	6.9%
i	540140	5.9%
s	464080	5.1%
d	428929	4.7%
l	386876	4.2%
Other values (49)	2755612	30.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12379753	> 99.9%
None	1886	< 0.1%
Punctuation	178	< 0.1%
Specials	7	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	2303677	18.6%
e	1036186	8.4%
a	775912	6.3%
o	767722	6.2%
t	707444	5.7%
n	664469	5.4%
r	634406	5.1%
i	540140	4.4%
s	464080	3.7%
d	428929	3.5%
Other values (86)	4056788	32.8%

Value	Count	Frequency (%)
â	453	24.0%
	426	22.6%
	200	10.6%
Â	128	6.8%
Ã	97	5.1%
¦	97	5.1%
¢	74	3.9%
	74	3.9%
	38	2.0%
	38	2.0%
Other values (27)	261	13.8%

Value	Count	Frequency (%)
’	90	50.6%
…	22	12.4%
“	18	10.1%
”	18	10.1%
–	10	5.6%
—	9	5.1%
•	8	4.5%
‘	3	1.7%

Value	Count	Frequency (%)
�	7	100.0%

purpose
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

debt_consolidation	19776
credit_card	5477
other	4425
home_improvement	3199
major_purchase	2311
Other values (9)	7347

Length

Max length	18
Median length	16
Mean length	13.69112496
Min length	3

Characters and Unicode

Total characters	582352
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	credit_card
2nd row	car
3rd row	small_business
4th row	other
5th row	other

Value	Count	Frequency (%)
debt_consolidation	19776	46.5%
credit_card	5477	12.9%
other	4425	10.4%
home_improvement	3199	7.5%
major_purchase	2311	5.4%
small_business	1992	4.7%
car	1615	3.8%
wedding	1004	2.4%
medical	753	1.8%
moving	629	1.5%
Other values (4)	1354	3.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
debt_consolidation	19776	46.5%
credit_card	5477	12.9%
other	4425	10.4%
home_improvement	3199	7.5%
major_purchase	2311	5.4%
small_business	1992	4.7%
car	1615	3.8%
wedding	1004	2.4%
medical	753	1.8%
moving	629	1.5%
Other values (4)	1354	3.2%

Most occurring characters

Value	Count	Frequency (%)
o	74339	12.8%
d	53689	9.2%
t	53475	9.2%
i	53428	9.2%
n	47410	8.1%
e	46713	8.0%
c	36231	6.2%
a	35985	6.2%
_	32861	5.6%
s	30481	5.2%
Other values (12)	117740	20.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	549491	94.4%
Connector Punctuation	32861	5.6%

Most frequent character per category

Value	Count	Frequency (%)
o	74339	13.5%
d	53689	9.8%
t	53475	9.7%
i	53428	9.7%
n	47410	8.6%
e	46713	8.5%
c	36231	6.6%
a	35985	6.5%
s	30481	5.5%
l	25041	4.6%
Other values (11)	92699	16.9%

Value	Count	Frequency (%)
_	32861	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	549491	94.4%
Common	32861	5.6%

Most frequent character per script

Value	Count	Frequency (%)
o	74339	13.5%
d	53689	9.8%
t	53475	9.7%
i	53428	9.7%
n	47410	8.6%
e	46713	8.5%
c	36231	6.6%
a	35985	6.5%
s	30481	5.5%
l	25041	4.6%
Other values (11)	92699	16.9%

Value	Count	Frequency (%)
_	32861	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	582352	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	74339	12.8%
d	53689	9.2%
t	53475	9.2%
i	53428	9.2%
n	47410	8.1%
e	46713	8.0%
c	36231	6.2%
a	35985	6.2%
_	32861	5.6%
s	30481	5.2%
Other values (12)	117740	20.2%

title
Categorical

HIGH CARDINALITY

Distinct	21264
Distinct (%)	50.0%
Missing	14
Missing (%)	< 0.1%
Memory size	332.4 KiB

Debt Consolidation	2259
Debt Consolidation Loan	1760
Personal Loan	708
Consolidation	547
debt consolidation	532
Other values (21259)	36716

Length

Max length	80
Median length	16
Mean length	17.34558581
Min length	2

Characters and Unicode

Total characters	737569
Distinct characters	108
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19113 ?
Unique (%)	44.9%

Sample

1st row	Computer
2nd row	bike
3rd row	real estate business
4th row	personel
5th row	Personal

Value	Count	Frequency (%)
Debt Consolidation	2259	5.3%
Debt Consolidation Loan	1760	4.1%
Personal Loan	708	1.7%
Consolidation	547	1.3%
debt consolidation	532	1.3%
Home Improvement	373	0.9%
Credit Card Consolidation	370	0.9%
Debt consolidation	347	0.8%
Small Business Loan	333	0.8%
Personal	330	0.8%
Other values (21254)	34963	82.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
loan	11503	10.2%
debt	9723	8.6%
consolidation	8994	7.9%
credit	4952	4.4%
card	3557	3.1%
personal	2221	2.0%
home	2025	1.8%
pay	1473	1.3%
off	1381	1.2%
to	1286	1.1%
Other values (9389)	66119	58.4%

Most occurring characters

Value	Count	Frequency (%)
	71985	9.8%
o	70249	9.5%
n	59793	8.1%
e	59393	8.1%
a	53923	7.3%
i	47247	6.4%
t	45984	6.2%
d	33017	4.5%
r	31780	4.3%
s	31001	4.2%
Other values (98)	233197	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	563571	76.4%
Uppercase Letter	89179	12.1%
Space Separator	71985	9.8%
Decimal Number	6403	0.9%
Other Punctuation	4910	0.7%
Dash Punctuation	870	0.1%
Connector Punctuation	220	< 0.1%
Close Punctuation	112	< 0.1%
Currency Symbol	104	< 0.1%
Math Symbol	103	< 0.1%
Other values (5)	112	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
C	19640	22.0%
L	10896	12.2%
D	9704	10.9%
P	6064	6.8%
R	4044	4.5%
S	3521	3.9%
M	3502	3.9%
B	3341	3.7%
H	3187	3.6%
E	3142	3.5%
Other values (18)	22138	24.8%

Value	Count	Frequency (%)
o	70249	12.5%
n	59793	10.6%
e	59393	10.5%
a	53923	9.6%
i	47247	8.4%
t	45984	8.2%
d	33017	5.9%
r	31780	5.6%
s	31001	5.5%
l	28340	5.0%
Other values (18)	102844	18.2%

Value	Count	Frequency (%)
!	1254	25.5%
'	1068	21.8%
.	813	16.6%
/	589	12.0%
,	481	9.8%
&	353	7.2%
%	105	2.1%
:	67	1.4%
"	61	1.2%
?	27	0.5%
Other values (5)	92	1.9%

Value	Count	Frequency (%)
0	1822	28.5%
1	1761	27.5%
2	1188	18.6%
3	316	4.9%
5	275	4.3%
9	264	4.1%
4	234	3.7%
6	195	3.0%
8	175	2.7%
7	173	2.7%

Value	Count	Frequency (%)
	4	21.1%
	4	21.1%
	4	21.1%
	2	10.5%
	2	10.5%
	1	5.3%
	1	5.3%
	1	5.3%

Value	Count	Frequency (%)
+	63	61.2%
=	19	18.4%
<	9	8.7%
>	8	7.8%
~	3	2.9%
\|	1	1.0%

Value	Count	Frequency (%)
^	1	33.3%
´	1	33.3%
`	1	33.3%

Value	Count	Frequency (%)
(	84	96.6%
[	3	3.4%

Value	Count	Frequency (%)
)	108	96.4%
]	4	3.6%

Value	Count	Frequency (%)
	71985	100.0%

Value	Count	Frequency (%)
-	870	100.0%

Value	Count	Frequency (%)
_	220	100.0%

Value	Count	Frequency (%)
$	104	100.0%

Value	Count	Frequency (%)
³	1	100.0%

Value	Count	Frequency (%)
¦	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	652750	88.5%
Common	84819	11.5%

Most frequent character per script

Value	Count	Frequency (%)
o	70249	10.8%
n	59793	9.2%
e	59393	9.1%
a	53923	8.3%
i	47247	7.2%
t	45984	7.0%
d	33017	5.1%
r	31780	4.9%
s	31001	4.7%
l	28340	4.3%
Other values (46)	192023	29.4%

Value	Count	Frequency (%)
	71985	84.9%
0	1822	2.1%
1	1761	2.1%
!	1254	1.5%
2	1188	1.4%
'	1068	1.3%
-	870	1.0%
.	813	1.0%
/	589	0.7%
,	481	0.6%
Other values (42)	2988	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	737537	> 99.9%
None	32	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	71985	9.8%
o	70249	9.5%
n	59793	8.1%
e	59393	8.1%
a	53923	7.3%
i	47247	6.4%
t	45984	6.2%
d	33017	4.5%
r	31780	4.3%
s	31001	4.2%
Other values (84)	233165	31.6%

Value	Count	Frequency (%)
â	4	12.5%
	4	12.5%
î	4	12.5%
	4	12.5%
	4	12.5%
Ã	2	6.2%
	2	6.2%
¦	2	6.2%
	1	3.1%
	1	3.1%
Other values (4)	4	12.5%

zip_code
Categorical

HIGH CARDINALITY

Distinct	837
Distinct (%)	2.0%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

100xx	649
945xx	559
606xx	548
112xx	538
070xx	503
Other values (832)	39738

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	212675
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	0.1%

Sample

1st row	860xx
2nd row	309xx
3rd row	606xx
4th row	917xx
5th row	972xx

Value	Count	Frequency (%)
100xx	649	1.5%
945xx	559	1.3%
606xx	548	1.3%
112xx	538	1.3%
070xx	503	1.2%
900xx	478	1.1%
300xx	436	1.0%
021xx	416	1.0%
750xx	392	0.9%
926xx	387	0.9%
Other values (827)	37629	88.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
100xx	649	1.5%
945xx	559	1.3%
606xx	548	1.3%
112xx	538	1.3%
070xx	503	1.2%
900xx	478	1.1%
300xx	436	1.0%
021xx	416	1.0%
750xx	392	0.9%
926xx	387	0.9%
Other values (827)	37629	88.5%

Most occurring characters

Value	Count	Frequency (%)
x	85070	40.0%
0	21264	10.0%
1	16676	7.8%
2	14431	6.8%
9	13409	6.3%
3	13348	6.3%
7	10980	5.2%
4	9793	4.6%
5	9663	4.5%
8	9322	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127605	60.0%
Lowercase Letter	85070	40.0%

Most frequent character per category

Value	Count	Frequency (%)
0	21264	16.7%
1	16676	13.1%
2	14431	11.3%
9	13409	10.5%
3	13348	10.5%
7	10980	8.6%
4	9793	7.7%
5	9663	7.6%
8	9322	7.3%
6	8719	6.8%

Value	Count	Frequency (%)
x	85070	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127605	60.0%
Latin	85070	40.0%

Most frequent character per script

Value	Count	Frequency (%)
0	21264	16.7%
1	16676	13.1%
2	14431	11.3%
9	13409	10.5%
3	13348	10.5%
7	10980	8.6%
4	9793	7.7%
5	9663	7.6%
8	9322	7.3%
6	8719	6.8%

Value	Count	Frequency (%)
x	85070	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	212675	100.0%

Most frequent character per block

Value	Count	Frequency (%)
x	85070	40.0%
0	21264	10.0%
1	16676	7.8%
2	14431	6.8%
9	13409	6.3%
3	13348	6.3%
7	10980	5.2%
4	9793	4.6%
5	9663	4.5%
8	9322	4.4%

addr_state
Categorical

HIGH CORRELATION

Distinct	50
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

CA	7429
NY	4065
FL	3104
TX	2915
NJ	1988
Other values (45)	23034

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	85070
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AZ
2nd row	GA
3rd row	IL
4th row	CA
5th row	OR

Value	Count	Frequency (%)
CA	7429	17.5%
NY	4065	9.6%
FL	3104	7.3%
TX	2915	6.9%
NJ	1988	4.7%
IL	1672	3.9%
PA	1651	3.9%
GA	1503	3.5%
VA	1487	3.5%
MA	1438	3.4%
Other values (40)	15283	35.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	7429	17.5%
ny	4065	9.6%
fl	3104	7.3%
tx	2915	6.9%
nj	1988	4.7%
il	1672	3.9%
pa	1651	3.9%
ga	1503	3.5%
va	1487	3.5%
ma	1438	3.4%
Other values (40)	15283	35.9%

Most occurring characters

Value	Count	Frequency (%)
A	16633	19.6%
C	10645	12.5%
N	8517	10.0%
L	5721	6.7%
M	5106	6.0%
Y	4511	5.3%
T	4194	4.9%
O	3736	4.4%
I	3413	4.0%
F	3104	3.6%
Other values (14)	19490	22.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	85070	100.0%

Most frequent character per category

Value	Count	Frequency (%)
A	16633	19.6%
C	10645	12.5%
N	8517	10.0%
L	5721	6.7%
M	5106	6.0%
Y	4511	5.3%
T	4194	4.9%
O	3736	4.4%
I	3413	4.0%
F	3104	3.6%
Other values (14)	19490	22.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	85070	100.0%

Most frequent character per script

Value	Count	Frequency (%)
A	16633	19.6%
C	10645	12.5%
N	8517	10.0%
L	5721	6.7%
M	5106	6.0%
Y	4511	5.3%
T	4194	4.9%
O	3736	4.4%
I	3413	4.0%
F	3104	3.6%
Other values (14)	19490	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85070	100.0%

Most frequent character per block

Value	Count	Frequency (%)
A	16633	19.6%
C	10645	12.5%
N	8517	10.0%
L	5721	6.7%
M	5106	6.0%
Y	4511	5.3%
T	4194	4.9%
O	3736	4.4%
I	3413	4.0%
F	3104	3.6%
Other values (14)	19490	22.9%

dti
Real number (ℝ_≥0)

Distinct	2894
Distinct (%)	6.8%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	13.37304314
Minimum	0
Maximum	29.99
Zeros	206
Zeros (%)	0.5%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2.1
Q1	8.2
median	13.47
Q3	18.68
95-th percentile	23.92
Maximum	29.99
Range	29.99
Interquartile range (IQR)	10.48

Descriptive statistics

Standard deviation	6.726314902
Coefficient of variation (CV)	0.5029756377
Kurtosis	-0.8517436241
Mean	13.37304314
Median Absolute Deviation (MAD)	5.24
Skewness	-0.02992193534
Sum	568822.39
Variance	45.24331216
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	206	0.5%
12	54	0.1%
10	46	0.1%
18	46	0.1%
19.2	45	0.1%
13.2	43	0.1%
13.5	41	0.1%
16.8	41	0.1%
12.48	40	0.1%
15	38	0.1%
Other values (2884)	41935	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	206	0.5%
0.01	3	< 0.1%
0.02	5	< 0.1%
0.03	2	< 0.1%
0.04	3	< 0.1%

Value	Count	Frequency (%)
29.99	1	< 0.1%
29.96	1	< 0.1%
29.95	2	< 0.1%
29.93	3	< 0.1%
29.92	2	< 0.1%

delinq_2yrs
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	30
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	0.152449066
Minimum	0
Maximum	13
Zeros	37771
Zeros (%)	88.8%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	13
Range	13
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.512406485
Coefficient of variation (CV)	3.361165131
Kurtosis	51.07281075
Mean	0.152449066
Median Absolute Deviation (MAD)	0
Skewness	5.433362395
Sum	6480
Variance	0.2625604059
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	37771	88.8%
1	3595	8.5%
2	771	1.8%
3	244	0.6%
4	72	0.2%
5	27	0.1%
6	13	< 0.1%
7	6	< 0.1%
8	3	< 0.1%
11	2	< 0.1%
Other values (2)	2	< 0.1%
(Missing)	30	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37771	88.8%
1	3595	8.5%
2	771	1.8%
3	244	0.6%
4	72	0.2%

Value	Count	Frequency (%)
13	1	< 0.1%
11	2	< 0.1%
9	1	< 0.1%
8	3	< 0.1%
7	6	< 0.1%

earliest_cr_line
Categorical

HIGH CARDINALITY

Distinct	530
Distinct (%)	1.2%
Missing	30
Missing (%)	0.1%
Memory size	332.4 KiB

Oct-1999	393
Nov-1998	390
Oct-2000	370
Dec-1998	366
Dec-1997	348
Other values (525)	40639

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	340048
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	0.1%

Sample

1st row	Jan-1985
2nd row	Apr-1999
3rd row	Nov-2001
4th row	Feb-1996
5th row	Jan-1996

Value	Count	Frequency (%)
Oct-1999	393	0.9%
Nov-1998	390	0.9%
Oct-2000	370	0.9%
Dec-1998	366	0.9%
Dec-1997	348	0.8%
Nov-2000	340	0.8%
Nov-1999	337	0.8%
Oct-1998	334	0.8%
Sep-2000	325	0.8%
Nov-1997	319	0.7%
Other values (520)	38984	91.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
oct-1999	393	0.9%
nov-1998	390	0.9%
oct-2000	370	0.9%
dec-1998	366	0.9%
dec-1997	348	0.8%
nov-2000	340	0.8%
nov-1999	337	0.8%
oct-1998	334	0.8%
sep-2000	325	0.8%
nov-1997	319	0.8%
Other values (520)	38984	91.7%

Most occurring characters

Value	Count	Frequency (%)
9	51514	15.1%
-	42506	12.5%
0	36660	10.8%
1	30534	9.0%
2	19450	5.7%
e	11233	3.3%
J	10093	3.0%
u	9950	2.9%
a	9771	2.9%
8	9027	2.7%
Other values (23)	109310	32.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	170024	50.0%
Lowercase Letter	85012	25.0%
Uppercase Letter	42506	12.5%
Dash Punctuation	42506	12.5%

Most frequent character per category

Value	Count	Frequency (%)
e	11233	13.2%
u	9950	11.7%
a	9771	11.5%
c	8713	10.2%
n	6821	8.0%
p	6799	8.0%
r	5951	7.0%
t	4396	5.2%
o	4196	4.9%
v	4196	4.9%
Other values (4)	12986	15.3%

Value	Count	Frequency (%)
9	51514	30.3%
0	36660	21.6%
1	30534	18.0%
2	19450	11.4%
8	9027	5.3%
7	5164	3.0%
4	4572	2.7%
6	4557	2.7%
5	4519	2.7%
3	4027	2.4%

Value	Count	Frequency (%)
J	10093	23.7%
A	6490	15.3%
M	6098	14.3%
O	4396	10.3%
D	4317	10.2%
N	4196	9.9%
S	3839	9.0%
F	3077	7.2%

Value	Count	Frequency (%)
-	42506	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	212530	62.5%
Latin	127518	37.5%

Most frequent character per script

Value	Count	Frequency (%)
e	11233	8.8%
J	10093	7.9%
u	9950	7.8%
a	9771	7.7%
c	8713	6.8%
n	6821	5.3%
p	6799	5.3%
A	6490	5.1%
M	6098	4.8%
r	5951	4.7%
Other values (12)	45599	35.8%

Value	Count	Frequency (%)
9	51514	24.2%
-	42506	20.0%
0	36660	17.2%
1	30534	14.4%
2	19450	9.2%
8	9027	4.2%
7	5164	2.4%
4	4572	2.2%
6	4557	2.1%
5	4519	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	340048	100.0%

Most frequent character per block

Value	Count	Frequency (%)
9	51514	15.1%
-	42506	12.5%
0	36660	10.8%
1	30534	9.0%
2	19450	5.7%
e	11233	3.3%
J	10093	3.0%
u	9950	2.9%
a	9771	2.9%
8	9027	2.7%
Other values (23)	109310	32.1%

fico_range_low
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	44
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	713.052545
Minimum	610
Maximum	825
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	610
5-th percentile	665
Q1	685
median	710
Q3	740
95-th percentile	780
Maximum	825
Range	215
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	36.18843854
Coefficient of variation (CV)	0.05075143311
Kurtosis	-0.4963339445
Mean	713.052545
Median Absolute Deviation (MAD)	25
Skewness	0.4648712594
Sum	30329690
Variance	1309.603084
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
685	2310	5.4%
700	2267	5.3%
680	2228	5.2%
695	2202	5.2%
690	2196	5.2%
675	1994	4.7%
705	1970	4.6%
720	1949	4.6%
725	1891	4.4%
715	1891	4.4%
Other values (34)	21637	50.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
610	2	< 0.1%
615	1	< 0.1%
620	1	< 0.1%
625	2	< 0.1%
630	6	< 0.1%

Value	Count	Frequency (%)
825	3	< 0.1%
820	19	< 0.1%
815	28	0.1%
810	125	0.3%
805	193	0.5%

fico_range_high
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	44
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	717.052545
Minimum	614
Maximum	829
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	614
5-th percentile	669
Q1	689
median	714
Q3	744
95-th percentile	784
Maximum	829
Range	215
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	36.18843854
Coefficient of variation (CV)	0.05046832173
Kurtosis	-0.4963339445
Mean	717.052545
Median Absolute Deviation (MAD)	25
Skewness	0.4648712594
Sum	30499830
Variance	1309.603084
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
689	2310	5.4%
704	2267	5.3%
684	2228	5.2%
699	2202	5.2%
694	2196	5.2%
679	1994	4.7%
709	1970	4.6%
724	1949	4.6%
719	1891	4.4%
729	1891	4.4%
Other values (34)	21637	50.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
614	2	< 0.1%
619	1	< 0.1%
624	1	< 0.1%
629	2	< 0.1%
634	6	< 0.1%

Value	Count	Frequency (%)
829	3	< 0.1%
824	19	< 0.1%
819	28	0.1%
814	125	0.3%
809	193	0.5%

inq_last_6mths
Real number (ℝ_≥0)

ZEROS

Distinct	28
Distinct (%)	0.1%
Missing	30
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	1.081423799
Minimum	0
Maximum	33
Zeros	19657
Zeros (%)	46.2%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	33
Range	33
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.527454835
Coefficient of variation (CV)	1.412447957
Kurtosis	30.96220493
Mean	1.081423799
Median Absolute Deviation (MAD)	1
Skewness	3.453516564
Sum	45967
Variance	2.333118274
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	19657	46.2%
1	11247	26.4%
2	5987	14.1%
3	3182	7.5%
4	1056	2.5%
5	596	1.4%
6	339	0.8%
7	182	0.4%
8	115	0.3%
9	50	0.1%
Other values (18)	95	0.2%
(Missing)	30	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19657	46.2%
1	11247	26.4%
2	5987	14.1%
3	3182	7.5%
4	1056	2.5%

Value	Count	Frequency (%)
33	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%

mths_since_last_delinq
Real number (ℝ_≥0)

ZEROS

Distinct	95
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.85005642
Minimum	0
Maximum	120
Zeros	27748
Zeros (%)	65.2%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	21
95-th percentile	64
Maximum	120
Range	120
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	21.66292728
Coefficient of variation (CV)	1.685823514
Kurtosis	1.356389979
Mean	12.85005642
Median Absolute Deviation (MAD)	0
Skewness	1.590947228
Sum	546590
Variance	469.2824182
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	27748	65.2%
30	270	0.6%
23	266	0.6%
19	266	0.6%
15	263	0.6%
24	262	0.6%
18	252	0.6%
38	251	0.6%
20	249	0.6%
22	248	0.6%
Other values (85)	12461	29.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	27748	65.2%
1	33	0.1%
2	115	0.3%
3	157	0.4%
4	164	0.4%

Value	Count	Frequency (%)
120	1	< 0.1%
115	1	< 0.1%
107	1	< 0.1%
106	1	< 0.1%
103	2	< 0.1%

mths_since_last_record
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	113
Distinct (%)	3.1%
Missing	38885
Missing (%)	91.4%
Infinite	0
Infinite (%)	0.0%

Mean	59.17556834
Minimum	0
Maximum	129
Zeros	1275
Zeros (%)	3.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	85
Q3	101
95-th percentile	115
Maximum	129
Range	129
Interquartile range (IQR)	101

Descriptive statistics

Standard deviation	47.1453958
Coefficient of variation (CV)	0.7967037263
Kurtosis	-1.694391517
Mean	59.17556834
Median Absolute Deviation (MAD)	28
Skewness	-0.2834457395
Sum	216050
Variance	2222.688345
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1275	3.0%
89	70	0.2%
113	68	0.2%
104	66	0.2%
86	62	0.1%
87	62	0.1%
94	61	0.1%
100	60	0.1%
111	60	0.1%
88	59	0.1%
Other values (103)	1808	4.3%
(Missing)	38885	91.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1275	3.0%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
129	1	< 0.1%
120	1	< 0.1%
119	10	< 0.1%
118	40	0.1%
117	50	0.1%

open_acc
Real number (ℝ_≥0)

Distinct	44
Distinct (%)	0.1%
Missing	30
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	9.343951442
Minimum	1
Maximum	47
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	6
median	9
Q3	12
95-th percentile	18
Maximum	47
Range	46
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.496273876
Coefficient of variation (CV)	0.4811961945
Kurtosis	1.935047655
Mean	9.343951442
Median Absolute Deviation (MAD)	3
Skewness	1.042024818
Sum	397174
Variance	20.21647877
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
7	4252	10.0%
8	4176	9.8%
6	4172	9.8%
9	3922	9.2%
10	3386	8.0%
5	3368	7.9%
11	2944	6.9%
4	2508	5.9%
12	2398	5.6%
13	2060	4.8%
Other values (34)	9320	21.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	39	0.1%
2	692	1.6%
3	1608	3.8%
4	2508	5.9%
5	3368	7.9%

Value	Count	Frequency (%)
47	1	< 0.1%
46	1	< 0.1%
44	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%

pub_rec
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	30
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	0.05815649555
Minimum	0
Maximum	5
Zeros	40130
Zeros (%)	94.3%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2457131407
Coefficient of variation (CV)	4.225033478
Kurtosis	26.83502204
Mean	0.05815649555
Median Absolute Deviation (MAD)	0
Skewness	4.605515995
Sum	2472
Variance	0.06037494749
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	40130	94.3%
1	2298	5.4%
2	64	0.2%
3	11	< 0.1%
4	2	< 0.1%
5	1	< 0.1%
(Missing)	30	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40130	94.3%
1	2298	5.4%
2	64	0.2%
3	11	< 0.1%
4	2	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	2	< 0.1%
3	11	< 0.1%
2	64	0.2%
1	2298	5.4%

revol_bal
Real number (ℝ_≥0)

ZEROS

Distinct	22709
Distinct (%)	53.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	14297.86091
Minimum	0
Maximum	1207359
Zeros	1119
Zeros (%)	2.6%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	295.4
Q1	3635
median	8821
Q3	17251
95-th percentile	44543.9
Maximum	1207359
Range	1207359
Interquartile range (IQR)	13616

Descriptive statistics

Standard deviation	22018.44101
Coefficient of variation (CV)	1.53998148
Kurtosis	346.2882917
Mean	14297.86091
Median Absolute Deviation (MAD)	6092
Skewness	11.01229081
Sum	608159514
Variance	484811744.5
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1119	2.6%
255	14	< 0.1%
298	14	< 0.1%
1	13	< 0.1%
682	12	< 0.1%
52	10	< 0.1%
6	10	< 0.1%
400	10	< 0.1%
39	10	< 0.1%
1763	9	< 0.1%
Other values (22699)	41314	97.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1119	2.6%
1	13	< 0.1%
2	6	< 0.1%
3	7	< 0.1%
4	3	< 0.1%

Value	Count	Frequency (%)
1207359	1	< 0.1%
952013	1	< 0.1%
602519	1	< 0.1%
508961	1	< 0.1%
487589	1	< 0.1%

revol_util
Categorical

HIGH CARDINALITY

Distinct	1119
Distinct (%)	2.6%
Missing	91
Missing (%)	0.2%
Memory size	332.4 KiB

0%	1070
40.7%	65
0.2%	64
63%	63
66.6%	62
Other values (1114)	41121

Length

Max length	6
Median length	5
Mean length	4.646530805
Min length	2

Characters and Unicode

Total characters	197222
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	115 ?
Unique (%)	0.3%

Sample

1st row	83.7%
2nd row	9.4%
3rd row	98.5%
4th row	21%
5th row	53.9%

Value	Count	Frequency (%)
0%	1070	2.5%
40.7%	65	0.2%
0.2%	64	0.2%
63%	63	0.1%
66.6%	62	0.1%
0.1%	61	0.1%
70.4%	61	0.1%
37.6%	60	0.1%
64.6%	60	0.1%
35.3%	59	0.1%
Other values (1109)	40820	96.0%
(Missing)	91	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1070	2.5%
40.7	65	0.2%
0.2	64	0.2%
63	63	0.1%
66.6	62	0.1%
0.1	61	0.1%
70.4	61	0.1%
64.6	60	0.1%
37.6	60	0.1%
66.7	59	0.1%
Other values (1109)	40820	96.2%

Most occurring characters

Value	Count	Frequency (%)
%	42445	21.5%
.	37253	18.9%
4	12918	6.5%
5	12907	6.5%
6	12837	6.5%
7	12831	6.5%
3	12671	6.4%
2	12329	6.3%
8	12268	6.2%
1	11830	6.0%
Other values (2)	16933	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	117524	59.6%
Other Punctuation	79698	40.4%

Most frequent character per category

Value	Count	Frequency (%)
4	12918	11.0%
5	12907	11.0%
6	12837	10.9%
7	12831	10.9%
3	12671	10.8%
2	12329	10.5%
8	12268	10.4%
1	11830	10.1%
9	11612	9.9%
0	5321	4.5%

Value	Count	Frequency (%)
%	42445	53.3%
.	37253	46.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	197222	100.0%

Most frequent character per script

Value	Count	Frequency (%)
%	42445	21.5%
.	37253	18.9%
4	12918	6.5%
5	12907	6.5%
6	12837	6.5%
7	12831	6.5%
3	12671	6.4%
2	12329	6.3%
8	12268	6.2%
1	11830	6.0%
Other values (2)	16933	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197222	100.0%

Most frequent character per block

Value	Count	Frequency (%)
%	42445	21.5%
.	37253	18.9%
4	12918	6.5%
5	12907	6.5%
6	12837	6.5%
7	12831	6.5%
3	12671	6.4%
2	12329	6.3%
8	12268	6.2%
1	11830	6.0%
Other values (2)	16933	8.6%

total_acc
Real number (ℝ_≥0)

Distinct	83
Distinct (%)	0.2%
Missing	30
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	22.12440597
Minimum	1
Maximum	90
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	13
median	20
Q3	29
95-th percentile	44
Maximum	90
Range	89
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.59281134
Coefficient of variation (CV)	0.5239829424
Kurtosis	0.6588546244
Mean	22.12440597
Median Absolute Deviation (MAD)	8
Skewness	0.8223755587
Sum	940420
Variance	134.3932747
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	1552	3.6%
16	1547	3.6%
17	1543	3.6%
14	1531	3.6%
20	1504	3.5%
18	1493	3.5%
21	1483	3.5%
13	1480	3.5%
12	1416	3.3%
19	1404	3.3%
Other values (73)	27553	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	21	< 0.1%
2	41	0.1%
3	238	0.6%
4	486	1.1%
5	622	1.5%

Value	Count	Frequency (%)
90	1	< 0.1%
87	1	< 0.1%
81	1	< 0.1%
80	1	< 0.1%
79	2	< 0.1%

initial_list_status
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	83.2 KiB

False	42535
(Missing)	1

Common Values
Chart

Value	Count	Frequency (%)
False	42535	> 99.9%
(Missing)	1	< 0.1%

out_prncp
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

0.0	42535

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127605
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42535	> 99.9%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42535	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	85070	66.7%
.	42535	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	85070	66.7%
Other Punctuation	42535	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	85070	100.0%

Value	Count	Frequency (%)
.	42535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127605	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	85070	66.7%
.	42535	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127605	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	85070	66.7%
.	42535	33.3%

out_prncp_inv
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

0.0	42535

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127605
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42535	> 99.9%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42535	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	85070	66.7%
.	42535	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	85070	66.7%
Other Punctuation	42535	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	85070	100.0%

Value	Count	Frequency (%)
.	42535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127605	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	85070	66.7%
.	42535	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127605	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	85070	66.7%
.	42535	33.3%

total_pymnt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	42366
Distinct (%)	99.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	12020.18964
Minimum	0
Maximum	58886.47343
Zeros	19
Zeros (%)	< 0.1%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1806.248222
Q1	5465.685189
median	9682.251696
Q3	16427.85007
95-th percentile	30211.27777
Maximum	58886.47343
Range	58886.47343
Interquartile range (IQR)	10962.16488

Descriptive statistics

Standard deviation	9094.685888
Coefficient of variation (CV)	0.7566175041
Kurtosis	2.175341593
Mean	12020.18964
Median Absolute Deviation (MAD)	4994.958304
Skewness	1.379195192
Sum	511278766.5
Variance	82713311.4
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19	< 0.1%
12029.45	6	< 0.1%
90	6	< 0.1%
180	4	< 0.1%
45	3	< 0.1%
11804.68932	3	< 0.1%
11553.89594	3	< 0.1%
26687.23	3	< 0.1%
11437.69145	3	< 0.1%
11955.39921	3	< 0.1%
Other values (42356)	42482	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19	< 0.1%
0.75	1	< 0.1%
0.8	1	< 0.1%
33.97	1	< 0.1%
35.9	1	< 0.1%

Value	Count	Frequency (%)
58886.47343	1	< 0.1%
58563.67993	1	< 0.1%
58480.13992	1	< 0.1%
58133.3199	1	< 0.1%
58090.95207	1	< 0.1%

total_pymnt_inv
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	40102
Distinct (%)	94.3%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	11312.72938
Minimum	0
Maximum	58563.68
Zeros	297
Zeros (%)	0.7%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1161.239
Q1	4793.115
median	8956.08
Q3	15543.875
95-th percentile	29629.481
Maximum	58563.68
Range	58563.68
Interquartile range (IQR)	10750.76

Descriptive statistics

Standard deviation	9038.506549
Coefficient of variation (CV)	0.7989678042
Kurtosis	2.220726227
Mean	11312.72938
Median Absolute Deviation (MAD)	4981.82
Skewness	1.393032244
Sum	481186944
Variance	81694600.64
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	297	0.7%
6514.52	16	< 0.1%
13148.14	14	< 0.1%
5478.39	14	< 0.1%
10956.78	12	< 0.1%
6717.95	12	< 0.1%
11196.57	12	< 0.1%
7328.92	11	< 0.1%
5557.03	11	< 0.1%
13517.36	11	< 0.1%
Other values (40092)	42125	99.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	297	0.7%
0.51	1	< 0.1%
0.54	1	< 0.1%
0.75	1	< 0.1%
0.8	1	< 0.1%

Value	Count	Frequency (%)
58563.68	1	< 0.1%
58514.93	1	< 0.1%
58438.37	1	< 0.1%
58056.4	1	< 0.1%
57967.53	1	< 0.1%

total_rec_prncp
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7691
Distinct (%)	18.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	9675.675936
Minimum	0
Maximum	35000.02
Zeros	86
Zeros (%)	0.2%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1203.661
Q1	4400
median	8000
Q3	13499.995
95-th percentile	24999.99
Maximum	35000.02
Range	35000.02
Interquartile range (IQR)	9099.995

Descriptive statistics

Standard deviation	7105.750304
Coefficient of variation (CV)	0.7343931681
Kurtosis	1.143927598
Mean	9675.675936
Median Absolute Deviation (MAD)	4000
Skewness	1.136695315
Sum	411554875.9
Variance	50491687.38
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2432	5.7%
12000	1958	4.6%
5000	1861	4.4%
6000	1752	4.1%
15000	1529	3.6%
8000	1414	3.3%
20000	1200	2.8%
4000	1046	2.5%
3000	975	2.3%
7000	901	2.1%
Other values (7681)	27467	64.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	86	0.2%
21.21	1	< 0.1%
21.93	1	< 0.1%
22.24	1	< 0.1%
22.5	1	< 0.1%

Value	Count	Frequency (%)
35000.02	2	< 0.1%
35000.01	1	< 0.1%
35000	418	1.0%
34999.99	7	< 0.1%
34999.98	1	< 0.1%

total_rec_int
Real number (ℝ_≥0)

Distinct	37462
Distinct (%)	88.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	2239.981444
Minimum	0
Maximum	23886.47
Zeros	83
Zeros (%)	0.2%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	183.961
Q1	657.1
median	1339.16
Q3	2803.09
95-th percentile	7463.76
Maximum	23886.47
Range	23886.47
Interquartile range (IQR)	2145.99

Descriptive statistics

Standard deviation	2585.057393
Coefficient of variation (CV)	1.154053039
Kurtosis	10.0705644
Mean	2239.981444
Median Absolute Deviation (MAD)	858.74
Skewness	2.70883429
Sum	95277610.71
Variance	6682521.725
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	83	0.2%
1196.57	26	0.1%
514.52	19	< 0.1%
1148.14	17	< 0.1%
956.78	17	< 0.1%
717.95	17	< 0.1%
1784.23	17	< 0.1%
478.39	16	< 0.1%
1907.35	14	< 0.1%
632.21	13	< 0.1%
Other values (37452)	42296	99.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	83	0.2%
3.54	1	< 0.1%
6.22	1	< 0.1%
6.27	1	< 0.1%
7.19	1	< 0.1%

Value	Count	Frequency (%)
23886.47	1	< 0.1%
23563.68	1	< 0.1%
23480.14	1	< 0.1%
23090.95	1	< 0.1%
23084.93	1	< 0.1%

total_rec_late_fee
Real number (ℝ_≥0)

ZEROS

Distinct	2299
Distinct (%)	5.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	1.516889594
Minimum	0
Maximum	209
Zeros	40145
Zeros (%)	94.4%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	14.97978247
Maximum	209
Range	209
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.830063955
Coefficient of variation (CV)	5.161920806
Kurtosis	101.1595044
Mean	1.516889594
Median Absolute Deviation (MAD)	0
Skewness	8.337377936
Sum	64520.89888
Variance	61.30990155
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	40145	94.4%
15	69	0.2%
30	8	< 0.1%
45	3	< 0.1%
15	2	< 0.1%
60	2	< 0.1%
17.7	2	< 0.1%
45	2	< 0.1%
15.00000001	2	< 0.1%
15	2	< 0.1%
Other values (2289)	2298	5.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40145	94.4%
0.01	1	< 0.1%
0.0607997508	1	< 0.1%
0.0737871041	1	< 0.1%
0.1017045619	1	< 0.1%

Value	Count	Frequency (%)
209	1	< 0.1%
180.2	1	< 0.1%
170.7600004	1	< 0.1%
166.4297107	1	< 0.1%
165.69	1	< 0.1%

recoveries
Real number (ℝ_≥0)

ZEROS

Distinct	5058
Distinct (%)	11.9%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	103.0154671
Minimum	0
Maximum	29623.35
Zeros	36176
Zeros (%)	85.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	392.912
Maximum	29623.35
Range	29623.35
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	735.7990861
Coefficient of variation (CV)	7.142607871
Kurtosis	386.5922346
Mean	103.0154671
Median Absolute Deviation (MAD)	0
Skewness	16.57335707
Sum	4381762.893
Variance	541400.2951
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	36176	85.0%
0.3	14	< 0.1%
1.8	11	< 0.1%
0.96	10	< 0.1%
1.2	10	< 0.1%
0.26	9	< 0.1%
0.9	9	< 0.1%
1.76	9	< 0.1%
6.3	9	< 0.1%
4.2	9	< 0.1%
Other values (5048)	6269	14.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	36176	85.0%
0.01	7	< 0.1%
0.02	3	< 0.1%
0.03	4	< 0.1%
0.04	6	< 0.1%

Value	Count	Frequency (%)
29623.35	1	< 0.1%
27750	1	< 0.1%
27009.47	1	< 0.1%
22943.37	1	< 0.1%
21811.73	1	< 0.1%

collection_recovery_fee
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	2897
Distinct (%)	6.8%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	14.38784299
Minimum	0
Maximum	7002.19
Zeros	38207
Zeros (%)	89.8%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5.76
Maximum	7002.19
Range	7002.19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	162.1778368
Coefficient of variation (CV)	11.2718659
Kurtosis	647.9221659
Mean	14.38784299
Median Absolute Deviation (MAD)	0
Skewness	22.41007601
Sum	611986.9015
Variance	26301.65075
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38207	89.8%
2	15	< 0.1%
1.2	11	< 0.1%
1.6	10	< 0.1%
1.21	9	< 0.1%
1.44	9	< 0.1%
1.8	9	< 0.1%
2.02	9	< 0.1%
1.55	9	< 0.1%
3.23	9	< 0.1%
Other values (2887)	4238	10.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	38207	89.8%
0.0449999999	1	< 0.1%
0.063	1	< 0.1%
0.0745000012	1	< 0.1%
0.1181	1	< 0.1%

Value	Count	Frequency (%)
7002.19	1	< 0.1%
6972.59	1	< 0.1%
6543.04	1	< 0.1%
5774.8	1	< 0.1%
5602.72	1	< 0.1%

last_pymnt_d
Categorical

HIGH CARDINALITY

Distinct	112
Distinct (%)	0.3%
Missing	84
Missing (%)	0.2%
Memory size	332.4 KiB

Mar-2013	1070
Dec-2014	949
May-2013	943
Feb-2013	906
Mar-2012	893
Other values (107)	37691

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	339616
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Jan-2015
2nd row	Apr-2013
3rd row	Jun-2014
4th row	Jan-2015
5th row	Jan-2017

Value	Count	Frequency (%)
Mar-2013	1070	2.5%
Dec-2014	949	2.2%
May-2013	943	2.2%
Feb-2013	906	2.1%
Mar-2012	893	2.1%
Apr-2013	890	2.1%
Aug-2012	868	2.0%
Oct-2012	853	2.0%
Jan-2014	845	2.0%
Aug-2014	836	2.0%
Other values (102)	33399	78.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
mar-2013	1070	2.5%
dec-2014	949	2.2%
may-2013	943	2.2%
feb-2013	906	2.1%
mar-2012	893	2.1%
apr-2013	890	2.1%
aug-2012	868	2.0%
oct-2012	853	2.0%
jan-2014	845	2.0%
aug-2014	836	2.0%
Other values (102)	33399	78.7%

Most occurring characters

Value	Count	Frequency (%)
2	51803	15.3%
1	47025	13.8%
0	46047	13.6%
-	42452	12.5%
e	10783	3.2%
a	10775	3.2%
u	10502	3.1%
J	10186	3.0%
3	9811	2.9%
4	9322	2.7%
Other values (23)	90910	26.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	169808	50.0%
Lowercase Letter	84904	25.0%
Uppercase Letter	42452	12.5%
Dash Punctuation	42452	12.5%

Most frequent character per category

Value	Count	Frequency (%)
e	10783	12.7%
a	10775	12.7%
u	10502	12.4%
c	7564	8.9%
r	7494	8.8%
p	6820	8.0%
n	6573	7.7%
t	3656	4.3%
l	3613	4.3%
g	3593	4.2%
Other values (4)	13531	15.9%

Value	Count	Frequency (%)
2	51803	30.5%
1	47025	27.7%
0	46047	27.1%
3	9811	5.8%
4	9322	5.5%
5	2511	1.5%
6	2083	1.2%
9	838	0.5%
8	335	0.2%
7	33	< 0.1%

Value	Count	Frequency (%)
J	10186	24.0%
M	7498	17.7%
A	7024	16.5%
D	3908	9.2%
O	3656	8.6%
F	3486	8.2%
S	3389	8.0%
N	3305	7.8%

Value	Count	Frequency (%)
-	42452	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	212260	62.5%
Latin	127356	37.5%

Most frequent character per script

Value	Count	Frequency (%)
e	10783	8.5%
a	10775	8.5%
u	10502	8.2%
J	10186	8.0%
c	7564	5.9%
M	7498	5.9%
r	7494	5.9%
A	7024	5.5%
p	6820	5.4%
n	6573	5.2%
Other values (12)	42137	33.1%

Value	Count	Frequency (%)
2	51803	24.4%
1	47025	22.2%
0	46047	21.7%
-	42452	20.0%
3	9811	4.6%
4	9322	4.4%
5	2511	1.2%
6	2083	1.0%
9	838	0.4%
8	335	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	339616	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	51803	15.3%
1	47025	13.8%
0	46047	13.6%
-	42452	12.5%
e	10783	3.2%
a	10775	3.2%
u	10502	3.1%
J	10186	3.0%
3	9811	2.9%
4	9322	2.7%
Other values (23)	90910	26.8%

last_pymnt_amnt
Real number (ℝ_≥0)

Distinct	37260
Distinct (%)	87.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	2613.245652
Minimum	0
Maximum	36115.2
Zeros	96
Zeros (%)	0.2%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	39.18
Q1	211.05
median	528.36
Q3	3170.22
95-th percentile	12018.095
Maximum	36115.2
Range	36115.2
Interquartile range (IQR)	2959.17

Descriptive statistics

Standard deviation	4385.066535
Coefficient of variation (CV)	1.678015433
Kurtosis	9.13496774
Mean	2613.245652
Median Absolute Deviation (MAD)	435.7
Skewness	2.750044596
Sum	111154403.8
Variance	19228808.51
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	96	0.2%
200	19	< 0.1%
100	17	< 0.1%
50	17	< 0.1%
150	13	< 0.1%
400	12	< 0.1%
275.74	11	< 0.1%
500	11	< 0.1%
276.06	9	< 0.1%
250	8	< 0.1%
Other values (37250)	42322	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	96	0.2%
0.01	1	< 0.1%
0.02	1	< 0.1%
0.03	1	< 0.1%
0.06	1	< 0.1%

Value	Count	Frequency (%)
36115.2	1	< 0.1%
35613.68	1	< 0.1%
35596.41	1	< 0.1%
35479.89	1	< 0.1%
35471.86	1	< 0.1%

next_pymnt_d
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	3.6%
Missing	39787
Missing (%)	93.5%
Memory size	332.4 KiB

Mar-2011	107
Apr-2011	101
Feb-2011	91
Jan-2011	79
May-2011	77
Other values (93)	2294

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	21992
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Jan-2016
2nd row	Sep-2013
3rd row	Feb-2016
4th row	Feb-2014
5th row	May-2014

Value	Count	Frequency (%)
Mar-2011	107	0.3%
Apr-2011	101	0.2%
Feb-2011	91	0.2%
Jan-2011	79	0.2%
May-2011	77	0.2%
Dec-2010	71	0.2%
Jun-2011	66	0.2%
Sep-2011	63	0.1%
Aug-2011	57	0.1%
Nov-2010	55	0.1%
Other values (88)	1982	4.7%
(Missing)	39787	93.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
mar-2011	107	3.9%
apr-2011	101	3.7%
feb-2011	91	3.3%
jan-2011	79	2.9%
may-2011	77	2.8%
dec-2010	71	2.6%
jun-2011	66	2.4%
sep-2011	63	2.3%
aug-2011	57	2.1%
nov-2010	55	2.0%
Other values (88)	1982	72.1%

Most occurring characters

Value	Count	Frequency (%)
0	3682	16.7%
2	3221	14.6%
1	3151	14.3%
-	2749	12.5%
a	721	3.3%
e	702	3.2%
J	602	2.7%
u	599	2.7%
c	536	2.4%
r	515	2.3%
Other values (22)	5514	25.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10996	50.0%
Lowercase Letter	5498	25.0%
Uppercase Letter	2749	12.5%
Dash Punctuation	2749	12.5%

Most frequent character per category

Value	Count	Frequency (%)
a	721	13.1%
e	702	12.8%
u	599	10.9%
c	536	9.7%
r	515	9.4%
p	453	8.2%
n	418	7.6%
t	251	4.6%
y	234	4.3%
o	228	4.1%
Other values (4)	841	15.3%

Value	Count	Frequency (%)
0	3682	33.5%
2	3221	29.3%
1	3151	28.7%
3	372	3.4%
9	312	2.8%
8	106	1.0%
5	79	0.7%
4	63	0.6%
6	10	0.1%

Value	Count	Frequency (%)
J	602	21.9%
M	501	18.2%
A	465	16.9%
D	285	10.4%
O	251	9.1%
N	228	8.3%
F	212	7.7%
S	205	7.5%

Value	Count	Frequency (%)
-	2749	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13745	62.5%
Latin	8247	37.5%

Most frequent character per script

Value	Count	Frequency (%)
a	721	8.7%
e	702	8.5%
J	602	7.3%
u	599	7.3%
c	536	6.5%
r	515	6.2%
M	501	6.1%
A	465	5.6%
p	453	5.5%
n	418	5.1%
Other values (12)	2735	33.2%

Value	Count	Frequency (%)
0	3682	26.8%
2	3221	23.4%
1	3151	22.9%
-	2749	20.0%
3	372	2.7%
9	312	2.3%
8	106	0.8%
5	79	0.6%
4	63	0.5%
6	10	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21992	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3682	16.7%
2	3221	14.6%
1	3151	14.3%
-	2749	12.5%
a	721	3.3%
e	702	3.2%
J	602	2.7%
u	599	2.7%
c	536	2.4%
r	515	2.3%
Other values (22)	5514	25.1%

last_credit_pull_d
Categorical

HIGH CARDINALITY

Distinct	133
Distinct (%)	0.3%
Missing	5
Missing (%)	< 0.1%
Memory size	332.4 KiB

Aug-2018	9248
Oct-2016	4071
Jul-2018	1233
May-2018	734
Feb-2017	709
Other values (128)	26536

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	340248
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Aug-2018
2nd row	Oct-2016
3rd row	Jun-2017
4th row	Apr-2016
5th row	Apr-2018

Value	Count	Frequency (%)
Aug-2018	9248	21.7%
Oct-2016	4071	9.6%
Jul-2018	1233	2.9%
May-2018	734	1.7%
Feb-2017	709	1.7%
Apr-2018	600	1.4%
Mar-2018	595	1.4%
Feb-2013	564	1.3%
Jan-2018	546	1.3%
Jun-2018	531	1.2%
Other values (123)	23700	55.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
aug-2018	9248	21.7%
oct-2016	4071	9.6%
jul-2018	1233	2.9%
may-2018	734	1.7%
feb-2017	709	1.7%
apr-2018	600	1.4%
mar-2018	595	1.4%
feb-2013	564	1.3%
jan-2018	546	1.3%
jun-2018	531	1.2%
Other values (123)	23700	55.7%

Most occurring characters

Value	Count	Frequency (%)
2	45366	13.3%
1	43999	12.9%
0	43667	12.8%
-	42531	12.5%
u	16863	5.0%
8	14066	4.1%
A	13810	4.1%
g	11344	3.3%
c	8212	2.4%
a	7664	2.3%
Other values (23)	92726	27.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	170124	50.0%
Lowercase Letter	85062	25.0%
Uppercase Letter	42531	12.5%
Dash Punctuation	42531	12.5%

Most frequent character per category

Value	Count	Frequency (%)
u	16863	19.8%
g	11344	13.3%
c	8212	9.7%
a	7664	9.0%
e	7436	8.7%
t	5938	7.0%
r	5402	6.4%
p	4467	5.3%
n	4428	5.2%
l	3226	3.8%
Other values (4)	10082	11.9%

Value	Count	Frequency (%)
2	45366	26.7%
1	43999	25.9%
0	43667	25.7%
8	14066	8.3%
6	7405	4.4%
7	5040	3.0%
4	3972	2.3%
3	3513	2.1%
5	2853	1.7%
9	243	0.1%

Value	Count	Frequency (%)
A	13810	32.5%
J	7654	18.0%
O	5938	14.0%
M	5529	13.0%
F	3161	7.4%
D	2274	5.3%
N	2164	5.1%
S	2001	4.7%

Value	Count	Frequency (%)
-	42531	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	212655	62.5%
Latin	127593	37.5%

Most frequent character per script

Value	Count	Frequency (%)
u	16863	13.2%
A	13810	10.8%
g	11344	8.9%
c	8212	6.4%
a	7664	6.0%
J	7654	6.0%
e	7436	5.8%
O	5938	4.7%
t	5938	4.7%
M	5529	4.3%
Other values (12)	37205	29.2%

Value	Count	Frequency (%)
2	45366	21.3%
1	43999	20.7%
0	43667	20.5%
-	42531	20.0%
8	14066	6.6%
6	7405	3.5%
7	5040	2.4%
4	3972	1.9%
3	3513	1.7%
5	2853	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	340248	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	45366	13.3%
1	43999	12.9%
0	43667	12.8%
-	42531	12.5%
u	16863	5.0%
8	14066	4.1%
A	13810	4.1%
g	11344	3.3%
c	8212	2.4%
a	7664	2.3%
Other values (23)	92726	27.3%

last_fico_range_high
Real number (ℝ_≥0)

Distinct	72
Distinct (%)	0.2%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	689.9225109
Minimum	0
Maximum	850
Zeros	24
Zeros (%)	0.1%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	534
Q1	644
median	699
Q3	749
95-th percentile	804
Maximum	850
Range	850
Interquartile range (IQR)	105

Descriptive statistics

Standard deviation	80.81809893
Coefficient of variation (CV)	0.1171408349
Kurtosis	2.471258434
Mean	689.9225109
Median Absolute Deviation (MAD)	50
Skewness	-0.8229792113
Sum	29345854
Variance	6531.565115
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
709	1256	3.0%
694	1216	2.9%
719	1204	2.8%
724	1197	2.8%
714	1175	2.8%
704	1171	2.8%
699	1149	2.7%
684	1115	2.6%
689	1077	2.5%
734	1056	2.5%
Other values (62)	30919	72.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	24	0.1%
499	771	1.8%
504	217	0.5%
509	189	0.4%
514	214	0.5%

Value	Count	Frequency (%)
850	10	< 0.1%
844	32	0.1%
839	46	0.1%
834	142	0.3%
829	190	0.4%

last_fico_range_low
Real number (ℝ_≥0)

ZEROS

Distinct	71
Distinct (%)	0.2%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	676.9520395
Minimum	0
Maximum	845
Zeros	795
Zeros (%)	1.9%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	530
Q1	640
median	695
Q3	745
95-th percentile	800
Maximum	845
Range	845
Interquartile range (IQR)	105

Descriptive statistics

Standard deviation	119.6477519
Coefficient of variation (CV)	0.1767447986
Kurtosis	16.54509905
Mean	676.9520395
Median Absolute Deviation (MAD)	50
Skewness	-3.368228991
Sum	28794155
Variance	14315.58452
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
705	1256	3.0%
690	1216	2.9%
715	1204	2.8%
720	1197	2.8%
710	1175	2.8%
700	1171	2.8%
695	1149	2.7%
680	1115	2.6%
685	1077	2.5%
730	1056	2.5%
Other values (61)	30919	72.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	795	1.9%
500	217	0.5%
505	189	0.4%
510	214	0.5%
515	214	0.5%

Value	Count	Frequency (%)
845	10	< 0.1%
840	32	0.1%
835	46	0.1%
830	142	0.3%
825	190	0.4%

collections_12_mths_ex_med
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	146
Missing (%)	0.3%
Memory size	332.4 KiB

0.0	42390

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127170
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42390	99.7%
(Missing)	146	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42390	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	84780	66.7%
.	42390	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	84780	66.7%
Other Punctuation	42390	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	84780	100.0%

Value	Count	Frequency (%)
.	42390	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127170	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	84780	66.7%
.	42390	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127170	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	84780	66.7%
.	42390	33.3%

mths_since_last_major_derog
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

policy_code
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

1.0	42535

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127605
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Value	Count	Frequency (%)
1.0	42535	> 99.9%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1.0	42535	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	42535	33.3%
.	42535	33.3%
0	42535	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	85070	66.7%
Other Punctuation	42535	33.3%

Most frequent character per category

Value	Count	Frequency (%)
1	42535	50.0%
0	42535	50.0%

Value	Count	Frequency (%)
.	42535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127605	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	42535	33.3%
.	42535	33.3%
0	42535	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127605	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	42535	33.3%
.	42535	33.3%
0	42535	33.3%

application_type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

Individual	42535

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	425350
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Individual
2nd row	Individual
3rd row	Individual
4th row	Individual
5th row	Individual

Value	Count	Frequency (%)
Individual	42535	> 99.9%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
individual	42535	100.0%

Most occurring characters

Value	Count	Frequency (%)
d	85070	20.0%
i	85070	20.0%
I	42535	10.0%
n	42535	10.0%
v	42535	10.0%
u	42535	10.0%
a	42535	10.0%
l	42535	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	382815	90.0%
Uppercase Letter	42535	10.0%

Most frequent character per category

Value	Count	Frequency (%)
d	85070	22.2%
i	85070	22.2%
n	42535	11.1%
v	42535	11.1%
u	42535	11.1%
a	42535	11.1%
l	42535	11.1%

Value	Count	Frequency (%)
I	42535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	425350	100.0%

Most frequent character per script

Value	Count	Frequency (%)
d	85070	20.0%
i	85070	20.0%
I	42535	10.0%
n	42535	10.0%
v	42535	10.0%
u	42535	10.0%
a	42535	10.0%
l	42535	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	425350	100.0%

Most frequent character per block

Value	Count	Frequency (%)
d	85070	20.0%
i	85070	20.0%
I	42535	10.0%
n	42535	10.0%
v	42535	10.0%
u	42535	10.0%
a	42535	10.0%
l	42535	10.0%

annual_inc_joint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

dti_joint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

verification_status_joint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

acc_now_delinq
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	30
Missing (%)	0.1%
Memory size	332.4 KiB

0.0	42502
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127518
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42502	99.9%
1.0	4	< 0.1%
(Missing)	30	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42502	> 99.9%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	85008	66.7%
.	42506	33.3%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	85012	66.7%
Other Punctuation	42506	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	85008	> 99.9%
1	4	< 0.1%

Value	Count	Frequency (%)
.	42506	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127518	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	85008	66.7%
.	42506	33.3%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127518	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	85008	66.7%
.	42506	33.3%
1	4	< 0.1%

tot_coll_amt
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

tot_cur_bal
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

open_acc_6m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

open_act_il
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

open_il_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

open_il_24m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mths_since_rcnt_il
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

total_bal_il
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

il_util
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

open_rv_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

open_rv_24m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

max_bal_bc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

all_util
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

total_rev_hi_lim
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

inq_fi
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

total_cu_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

inq_last_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

acc_open_past_24mths
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

avg_cur_bal
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

bc_open_to_buy
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

bc_util
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

chargeoff_within_12_mths
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	146
Missing (%)	0.3%
Memory size	332.4 KiB

0.0	42390

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127170
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42390	99.7%
(Missing)	146	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42390	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	84780	66.7%
.	42390	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	84780	66.7%
Other Punctuation	42390	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	84780	100.0%

Value	Count	Frequency (%)
.	42390	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127170	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	84780	66.7%
.	42390	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127170	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	84780	66.7%
.	42390	33.3%

delinq_amnt
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	30
Missing (%)	0.1%
Memory size	332.4 KiB

0.0	42504
27.0	1
6053.0	1

Length

Max length	6
Median length	3
Mean length	3.000094104
Min length	3

Characters and Unicode

Total characters	127522
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42504	99.9%
27.0	1	< 0.1%
6053.0	1	< 0.1%
(Missing)	30	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42504	> 99.9%
27.0	1	< 0.1%
6053.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	85011	66.7%
.	42506	33.3%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	85016	66.7%
Other Punctuation	42506	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	85011	> 99.9%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

Value	Count	Frequency (%)
.	42506	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127522	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	85011	66.7%
.	42506	33.3%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127522	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	85011	66.7%
.	42506	33.3%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

mo_sin_old_il_acct
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mo_sin_old_rev_tl_op
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mo_sin_rcnt_rev_tl_op
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mo_sin_rcnt_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mort_acc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mths_since_recent_bc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mths_since_recent_bc_dlq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mths_since_recent_inq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

mths_since_recent_revol_delinq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_accts_ever_120_pd
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_actv_bc_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_actv_rev_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_bc_sats
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_bc_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_il_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_op_rev_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_rev_accts
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_rev_tl_bal_gt_0
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_sats
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_tl_120dpd_2m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_tl_30dpd
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_tl_90g_dpd_24m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

num_tl_op_past_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

pct_tl_nvr_dlq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

percent_bc_gt_75
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

pub_rec_bankruptcies
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	1366
Missing (%)	3.2%
Memory size	332.4 KiB

0.0	39316
1.0	1846
2.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	123510
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	39316	92.4%
1.0	1846	4.3%
2.0	8	< 0.1%
(Missing)	1366	3.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	39316	95.5%
1.0	1846	4.5%
2.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	80486	65.2%
.	41170	33.3%
1	1846	1.5%
2	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	82340	66.7%
Other Punctuation	41170	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	80486	97.7%
1	1846	2.2%
2	8	< 0.1%

Value	Count	Frequency (%)
.	41170	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	123510	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	80486	65.2%
.	41170	33.3%
1	1846	1.5%
2	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	123510	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	80486	65.2%
.	41170	33.3%
1	1846	1.5%
2	8	< 0.1%

tax_liens
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	106
Missing (%)	0.2%
Memory size	332.4 KiB

0.0	42429
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127290
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42429	99.7%
1.0	1	< 0.1%
(Missing)	106	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42429	> 99.9%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	84859	66.7%
.	42430	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	84860	66.7%
Other Punctuation	42430	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	84859	> 99.9%
1	1	< 0.1%

Value	Count	Frequency (%)
.	42430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127290	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	84859	66.7%
.	42430	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127290	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	84859	66.7%
.	42430	33.3%
1	1	< 0.1%

tot_hi_cred_lim
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

total_bal_ex_mort
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

total_bc_limit
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

total_il_high_credit_limit
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

revol_bal_joint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_fico_range_low
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_fico_range_high
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_earliest_cr_line
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_inq_last_6mths
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_mort_acc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_open_acc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_revol_util
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_open_act_il
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_num_rev_accts
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_chargeoff_within_12_mths
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_collections_12_mths_ex_med
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

sec_app_mths_since_last_major_derog
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_flag
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	83.2 KiB

False	42535
(Missing)	1

Common Values
Chart

Value	Count	Frequency (%)
False	42535	> 99.9%
(Missing)	1	< 0.1%

hardship_type
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_reason
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_status
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

deferral_term
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_amount
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_start_date
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_end_date
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

payment_plan_start_date
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_length
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_dpd
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_loan_status
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

orig_projected_additional_accrued_interest
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_payoff_balance_amount
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

hardship_last_payment_amount
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	42536
Missing (%)	100.0%
Memory size	332.4 KiB

disbursement_method
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	332.4 KiB

Cash	42535

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	170140
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Cash
2nd row	Cash
3rd row	Cash
4th row	Cash
5th row	Cash

Value	Count	Frequency (%)
Cash	42535	> 99.9%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
cash	42535	100.0%

Most occurring characters

Value	Count	Frequency (%)
C	42535	25.0%
a	42535	25.0%
s	42535	25.0%
h	42535	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	127605	75.0%
Uppercase Letter	42535	25.0%

Most frequent character per category

Value	Count	Frequency (%)
a	42535	33.3%
s	42535	33.3%
h	42535	33.3%

Value	Count	Frequency (%)
C	42535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	170140	100.0%

Most frequent character per script

Value	Count	Frequency (%)
C	42535	25.0%
a	42535	25.0%
s	42535	25.0%
h	42535	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170140	100.0%

Most frequent character per block

Value	Count	Frequency (%)
C	42535	25.0%
a	42535	25.0%
s	42535	25.0%
h	42535	25.0%

debt_settlement_flag
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	83.2 KiB

False	42375
True	160
(Missing)	1

Common Values
Chart

Value	Count	Frequency (%)
False	42375	99.6%
True	160	0.4%
(Missing)	1	< 0.1%

debt_settlement_flag_date
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	63
Distinct (%)	39.4%
Missing	42376
Missing (%)	99.6%
Memory size	332.4 KiB

Jun-2017	18
Jan-2015	7
Apr-2017	7
Sep-2015	6
Oct-2013	5
Other values (58)	117

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	1280
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	17.5%

Sample

1st row	Feb-2016
2nd row	May-2014
3rd row	Apr-2014
4th row	Apr-2016
5th row	Feb-2015

Value	Count	Frequency (%)
Jun-2017	18	< 0.1%
Jan-2015	7	< 0.1%
Apr-2017	7	< 0.1%
Sep-2015	6	< 0.1%
Oct-2013	5	< 0.1%
Jul-2014	5	< 0.1%
Feb-2015	5	< 0.1%
May-2014	5	< 0.1%
Nov-2013	4	< 0.1%
Apr-2015	4	< 0.1%
Other values (53)	94	0.2%
(Missing)	42376	99.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
jun-2017	18	11.2%
apr-2017	7	4.4%
jan-2015	7	4.4%
sep-2015	6	3.8%
jul-2014	5	3.1%
oct-2013	5	3.1%
may-2014	5	3.1%
feb-2015	5	3.1%
apr-2014	4	2.5%
nov-2013	4	2.5%
Other values (53)	94	58.8%

Most occurring characters

Value	Count	Frequency (%)
2	171	13.4%
1	163	12.7%
0	161	12.6%
-	160	12.5%
J	50	3.9%
u	50	3.9%
n	40	3.1%
e	38	3.0%
p	35	2.7%
4	33	2.6%
Other values (22)	379	29.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	640	50.0%
Lowercase Letter	320	25.0%
Uppercase Letter	160	12.5%
Dash Punctuation	160	12.5%

Most frequent character per category

Value	Count	Frequency (%)
u	50	15.6%
n	40	12.5%
e	38	11.9%
p	35	10.9%
r	33	10.3%
a	29	9.1%
c	22	6.9%
b	15	4.7%
t	14	4.4%
l	10	3.1%
Other values (4)	34	10.6%

Value	Count	Frequency (%)
2	171	26.7%
1	163	25.5%
0	161	25.2%
4	33	5.2%
7	32	5.0%
5	31	4.8%
3	30	4.7%
6	13	2.0%
8	6	0.9%

Value	Count	Frequency (%)
J	50	31.2%
A	28	17.5%
M	21	13.1%
F	15	9.4%
S	15	9.4%
O	14	8.8%
N	9	5.6%
D	8	5.0%

Value	Count	Frequency (%)
-	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	62.5%
Latin	480	37.5%

Most frequent character per script

Value	Count	Frequency (%)
J	50	10.4%
u	50	10.4%
n	40	8.3%
e	38	7.9%
p	35	7.3%
r	33	6.9%
a	29	6.0%
A	28	5.8%
c	22	4.6%
M	21	4.4%
Other values (12)	134	27.9%

Value	Count	Frequency (%)
2	171	21.4%
1	163	20.4%
0	161	20.1%
-	160	20.0%
4	33	4.1%
7	32	4.0%
5	31	3.9%
3	30	3.8%
6	13	1.6%
8	6	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1280	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	171	13.4%
1	163	12.7%
0	161	12.6%
-	160	12.5%
J	50	3.9%
u	50	3.9%
n	40	3.1%
e	38	3.0%
p	35	2.7%
4	33	2.6%
Other values (22)	379	29.6%

settlement_status
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	1.9%
Missing	42376
Missing (%)	99.6%
Memory size	332.4 KiB

COMPLETE	142
BROKEN	15
ACTIVE	3

Length

Max length	8
Median length	8
Mean length	7.775
Min length	6

Characters and Unicode

Total characters	1244
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	COMPLETE
2nd row	COMPLETE
3rd row	COMPLETE
4th row	COMPLETE
5th row	COMPLETE

Value	Count	Frequency (%)
COMPLETE	142	0.3%
BROKEN	15	< 0.1%
ACTIVE	3	< 0.1%
(Missing)	42376	99.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
complete	142	88.8%
broken	15	9.4%
active	3	1.9%

Most occurring characters

Value	Count	Frequency (%)
E	302	24.3%
O	157	12.6%
C	145	11.7%
T	145	11.7%
M	142	11.4%
P	142	11.4%
L	142	11.4%
B	15	1.2%
R	15	1.2%
K	15	1.2%
Other values (4)	24	1.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1244	100.0%

Most frequent character per category

Value	Count	Frequency (%)
E	302	24.3%
O	157	12.6%
C	145	11.7%
T	145	11.7%
M	142	11.4%
P	142	11.4%
L	142	11.4%
B	15	1.2%
R	15	1.2%
K	15	1.2%
Other values (4)	24	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1244	100.0%

Most frequent character per script

Value	Count	Frequency (%)
E	302	24.3%
O	157	12.6%
C	145	11.7%
T	145	11.7%
M	142	11.4%
P	142	11.4%
L	142	11.4%
B	15	1.2%
R	15	1.2%
K	15	1.2%
Other values (4)	24	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1244	100.0%

Most frequent character per block

Value	Count	Frequency (%)
E	302	24.3%
O	157	12.6%
C	145	11.7%
T	145	11.7%
M	142	11.4%
P	142	11.4%
L	142	11.4%
B	15	1.2%
R	15	1.2%
K	15	1.2%
Other values (4)	24	1.9%

settlement_date
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	61
Distinct (%)	38.1%
Missing	42376
Missing (%)	99.6%
Memory size	332.4 KiB

Sep-2013	8
Oct-2013	8
Jan-2015	8
Jul-2014	6
Mar-2013	6
Other values (56)	124

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	1280
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	13.8%

Sample

1st row	Feb-2015
2nd row	Nov-2013
3rd row	Mar-2014
4th row	May-2015
5th row	Aug-2014

Value	Count	Frequency (%)
Sep-2013	8	< 0.1%
Oct-2013	8	< 0.1%
Jan-2015	8	< 0.1%
Jul-2014	6	< 0.1%
Mar-2013	6	< 0.1%
Nov-2013	5	< 0.1%
Jul-2013	5	< 0.1%
May-2015	5	< 0.1%
Jun-2014	5	< 0.1%
Aug-2014	4	< 0.1%
Other values (51)	100	0.2%
(Missing)	42376	99.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
sep-2013	8	5.0%
oct-2013	8	5.0%
jan-2015	8	5.0%
jul-2014	6	3.8%
mar-2013	6	3.8%
jul-2013	5	3.1%
may-2015	5	3.1%
nov-2013	5	3.1%
jun-2014	5	3.1%
jun-2015	4	2.5%
Other values (51)	100	62.5%

Most occurring characters

Value	Count	Frequency (%)
2	184	14.4%
1	164	12.8%
0	162	12.7%
-	160	12.5%
a	47	3.7%
J	47	3.7%
3	45	3.5%
u	44	3.4%
4	37	2.9%
e	34	2.7%
Other values (23)	356	27.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	640	50.0%
Lowercase Letter	320	25.0%
Uppercase Letter	160	12.5%
Dash Punctuation	160	12.5%

Most frequent character per category

Value	Count	Frequency (%)
a	47	14.7%
u	44	13.8%
e	34	10.6%
n	31	9.7%
r	27	8.4%
p	24	7.5%
c	22	6.9%
y	16	5.0%
t	16	5.0%
l	16	5.0%
Other values (4)	43	13.4%

Value	Count	Frequency (%)
2	184	28.7%
1	164	25.6%
0	162	25.3%
3	45	7.0%
4	37	5.8%
5	26	4.1%
7	9	1.4%
6	7	1.1%
8	5	0.8%
9	1	0.2%

Value	Count	Frequency (%)
J	47	29.4%
M	32	20.0%
A	23	14.4%
O	16	10.0%
F	15	9.4%
S	13	8.1%
N	8	5.0%
D	6	3.8%

Value	Count	Frequency (%)
-	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	62.5%
Latin	480	37.5%

Most frequent character per script

Value	Count	Frequency (%)
a	47	9.8%
J	47	9.8%
u	44	9.2%
e	34	7.1%
M	32	6.7%
n	31	6.5%
r	27	5.6%
p	24	5.0%
A	23	4.8%
c	22	4.6%
Other values (12)	149	31.0%

Value	Count	Frequency (%)
2	184	23.0%
1	164	20.5%
0	162	20.2%
-	160	20.0%
3	45	5.6%
4	37	4.6%
5	26	3.2%
7	9	1.1%
6	7	0.9%
8	5	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1280	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	184	14.4%
1	164	12.8%
0	162	12.7%
-	160	12.5%
a	47	3.7%
J	47	3.7%
3	45	3.5%
u	44	3.4%
4	37	2.9%
e	34	2.7%
Other values (23)	356	27.8%

settlement_amount
Real number (ℝ_≥0)

MISSING

Distinct	143
Distinct (%)	89.4%
Missing	42376
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%

Mean	4272.137875
Minimum	193.29
Maximum	14798.2
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	193.29
5-th percentile	704.646
Q1	1842.75
median	3499.35
Q3	5701.1
95-th percentile	11040
Maximum	14798.2
Range	14604.91
Interquartile range (IQR)	3858.35

Descriptive statistics

Standard deviation	3119.373774
Coefficient of variation (CV)	0.7301669246
Kurtosis	1.155413328
Mean	4272.137875
Median Absolute Deviation (MAD)	1889
Skewness	1.182311522
Sum	683542.06
Variance	9730492.741
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	3	< 0.1%
8000	3	< 0.1%
6500	3	< 0.1%
5000	3	< 0.1%
1600	2	< 0.1%
2100	2	< 0.1%
4000	2	< 0.1%
12000	2	< 0.1%
1200	2	< 0.1%
3300	2	< 0.1%
Other values (133)	136	0.3%
(Missing)	42376	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
193.29	1	< 0.1%
295.8	1	< 0.1%
300	1	< 0.1%
500	1	< 0.1%
552.77	1	< 0.1%

Value	Count	Frequency (%)
14798.2	1	< 0.1%
14161.28	1	< 0.1%
13066.15	1	< 0.1%
12426.22	1	< 0.1%
12390.99	1	< 0.1%

settlement_percentage
Real number (ℝ_≥0)

MISSING

Distinct	123
Distinct (%)	76.9%
Missing	42376
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%

Mean	49.905875
Minimum	10.69
Maximum	92.74
Zeros	0
Zeros (%)	0.0%
Memory size	332.4 KiB

Quantile statistics

Minimum	10.69
5-th percentile	28.489
Q1	40
median	49.97
Q3	60.6525
95-th percentile	76.4865
Maximum	92.74
Range	82.05
Interquartile range (IQR)	20.6525

Descriptive statistics

Standard deviation	15.5636903
Coefficient of variation (CV)	0.3118608842
Kurtosis	0.2054606155
Mean	49.905875
Median Absolute Deviation (MAD)	9.97
Skewness	0.4461853083
Sum	7984.94
Variance	242.2284558
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	13	< 0.1%
40	9	< 0.1%
65	4	< 0.1%
45	4	< 0.1%
49.98	3	< 0.1%
44.99	3	< 0.1%
20	3	< 0.1%
60	2	< 0.1%
69	2	< 0.1%
42.06	2	< 0.1%
Other values (113)	115	0.3%
(Missing)	42376	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10.69	1	< 0.1%
19.46	1	< 0.1%
20	3	< 0.1%
22.04	1	< 0.1%
24.99	1	< 0.1%

Value	Count	Frequency (%)
92.74	1	< 0.1%
91.7	1	< 0.1%
90.02	1	< 0.1%
87.25	1	< 0.1%
86.41	1	< 0.1%

settlement_term
Real number (ℝ_≥0)

MISSING

Distinct	11
Distinct (%)	6.9%
Missing	42376
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%

Mean	1.2
Minimum	0
Maximum	24
Zeros	126
Zeros (%)	0.3%
Memory size	332.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	8.05
Maximum	24
Range	24
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.085254971
Coefficient of variation (CV)	3.404379142
Kurtosis	19.36316121
Mean	1.2
Median Absolute Deviation (MAD)	0
Skewness	4.358151949
Sum	192
Variance	16.68930818
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	126	0.3%
1	17	< 0.1%
2	5	< 0.1%
6	3	< 0.1%
24	2	< 0.1%
18	2	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
23	1	< 0.1%
11	1	< 0.1%
(Missing)	42376	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	126	0.3%
1	17	< 0.1%
2	5	< 0.1%
6	3	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
24	2	< 0.1%
23	1	< 0.1%
18	2	< 0.1%
12	1	< 0.1%
11	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	url	desc	purpose	title	zip_code	addr_state	dti	earliest_cr_line	fico_range_low	fico_range_high	inq_last_6mths	mths_since_last_delinq	mths_since_last_record	open_acc	revol_bal	revol_util	total_acc	initial_list_status	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	total_rec_late_fee	recoveries	collection_recovery_fee	last_pymnt_d	last_pymnt_amnt	next_pymnt_d	last_credit_pull_d	last_fico_range_high	last_fico_range_low	mths_since_last_major_derog	policy_code	application_type	annual_inc_joint	dti_joint	verification_status_joint	tot_coll_amt	tot_cur_bal	open_acc_6m	open_act_il	open_il_12m	open_il_24m	mths_since_rcnt_il	total_bal_il	il_util	open_rv_12m	open_rv_24m	max_bal_bc	all_util	total_rev_hi_lim	inq_fi	total_cu_tl	inq_last_12m	acc_open_past_24mths	avg_cur_bal	bc_open_to_buy	bc_util	mo_sin_old_il_acct	mo_sin_old_rev_tl_op	mo_sin_rcnt_rev_tl_op	mo_sin_rcnt_tl	mort_acc	mths_since_recent_bc	mths_since_recent_bc_dlq	mths_since_recent_inq	mths_since_recent_revol_delinq	num_accts_ever_120_pd	num_actv_bc_tl	num_actv_rev_tl	num_bc_sats	num_bc_tl	num_il_tl	num_op_rev_tl	num_rev_accts	num_rev_tl_bal_gt_0	num_sats	num_tl_120dpd_2m	num_tl_30dpd	num_tl_90g_dpd_24m	num_tl_op_past_12m	pct_tl_nvr_dlq	percent_bc_gt_75	tot_hi_cred_lim	total_bal_ex_mort	total_bc_limit	total_il_high_credit_limit	revol_bal_joint	sec_app_fico_range_low	sec_app_fico_range_high	sec_app_earliest_cr_line	sec_app_inq_last_6mths	sec_app_mort_acc	sec_app_open_acc	sec_app_revol_util	sec_app_open_act_il	sec_app_num_rev_accts	sec_app_chargeoff_within_12_mths	sec_app_collections_12_mths_ex_med	sec_app_mths_since_last_major_derog	hardship_flag	hardship_type	hardship_reason	hardship_status	deferral_term	hardship_amount	hardship_start_date	hardship_end_date	payment_plan_start_date	hardship_length	hardship_dpd	hardship_loan_status	orig_projected_additional_accrued_interest	hardship_payoff_balance_amount	hardship_last_payment_amount	disbursement_method	debt_settlement_flag	debt_settlement_flag_date	settlement_status	settlement_date	settlement_amount	settlement_percentage	settlement_term
0	1077501	NaN	5000.0	5000.0	4975.0	36 months	10.65%	162.87	B	B2	NaN	10+ years	RENT	24000.0	Verified	Dec-2011	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1077501	Borrower added on 12/22/11 > I need to upgrade my business technologies.<br>	credit_card	Computer	860xx	AZ	27.65	Jan-1985	735.0	739.0	1.0	0.0	NaN	3.0	13648.0	83.7%	9.0	f	5863.155187	5833.84	5000.00	863.16	0.00	0.00	0.00	Jan-2015	171.62	NaN	Aug-2018	739.0	735.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
1	1077430	NaN	2500.0	2500.0	2500.0	60 months	15.27%	59.83	C	C4	Ryder	< 1 year	RENT	30000.0	Source Verified	Dec-2011	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1077430	Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike. I only need this money because the deal im looking at is to good to pass up.<br><br> Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike.I only need this money because the deal im looking at is to good to pass up. I have finished college with an associates degree in business and its takingmeplaces<br>	car	bike	309xx	GA	1.00	Apr-1999	740.0	744.0	5.0	0.0	NaN	3.0	1687.0	9.4%	4.0	f	1014.530000	1014.53	456.46	435.17	0.00	122.90	1.11	Apr-2013	119.66	NaN	Oct-2016	499.0	0.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
2	1077175	NaN	2400.0	2400.0	2400.0	36 months	15.96%	84.33	C	C5	NaN	10+ years	RENT	12252.0	Not Verified	Dec-2011	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1077175	NaN	small_business	real estate business	606xx	IL	8.72	Nov-2001	735.0	739.0	2.0	0.0	NaN	2.0	2956.0	98.5%	10.0	f	3005.666844	3005.67	2400.00	605.67	0.00	0.00	0.00	Jun-2014	649.91	NaN	Jun-2017	739.0	735.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
3	1076863	NaN	10000.0	10000.0	10000.0	36 months	13.49%	339.31	C	C1	AIR RESOURCES BOARD	10+ years	RENT	49200.0	Source Verified	Dec-2011	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1076863	Borrower added on 12/21/11 > to pay for property tax (borrow from friend, need to pay back) & central A/C need to be replace. I'm very sorry to let my loan expired last time.<br>	other	personel	917xx	CA	20.00	Feb-1996	690.0	694.0	1.0	35.0	NaN	10.0	5598.0	21%	37.0	f	12231.890000	12231.89	10000.00	2214.92	16.97	0.00	0.00	Jan-2015	357.48	NaN	Apr-2016	604.0	600.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
4	1075358	NaN	3000.0	3000.0	3000.0	60 months	12.69%	67.79	B	B5	University Medical Group	1 year	RENT	80000.0	Source Verified	Dec-2011	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1075358	Borrower added on 12/21/11 > I plan on combining three large interest bills together and freeing up some extra each month to pay toward other bills. I've always been a good payor but have found myself needing to make adjustments to my budget due to a medical scare. My job is very stable, I love it.<br>	other	Personal	972xx	OR	17.94	Jan-1996	695.0	699.0	0.0	38.0	NaN	15.0	27783.0	53.9%	38.0	f	4066.908161	4066.91	3000.00	1066.91	0.00	0.00	0.00	Jan-2017	67.30	NaN	Apr-2018	684.0	680.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
5	1075269	NaN	5000.0	5000.0	5000.0	36 months	7.90%	156.46	A	A4	Veolia Transportaton	3 years	RENT	36000.0	Source Verified	Dec-2011	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1075269	NaN	wedding	My wedding loan I promise to pay back	852xx	AZ	11.20	Nov-2004	730.0	734.0	3.0	0.0	NaN	9.0	7963.0	28.3%	12.0	f	5632.210000	5632.21	5000.00	632.21	0.00	0.00	0.00	Jan-2015	161.03	NaN	Feb-2017	564.0	560.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
6	1069639	NaN	7000.0	7000.0	7000.0	60 months	15.96%	170.08	C	C5	Southern Star Photography	8 years	RENT	47004.0	Not Verified	Dec-2011	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1069639	Borrower added on 12/18/11 > I am planning on using the funds to pay off two retail credit cards with 24.99% interest rates, as well as a major bank credit card with a 18.99% rate. I pay all my bills on time, looking for a lower combined payment and lower monthly payment.<br>	debt_consolidation	Loan	280xx	NC	23.51	Jul-2005	690.0	694.0	1.0	0.0	NaN	7.0	17726.0	85.6%	11.0	f	10137.840008	10137.84	7000.00	3137.84	0.00	0.00	0.00	May-2016	1313.76	NaN	Sep-2016	654.0	650.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
7	1072053	NaN	3000.0	3000.0	3000.0	36 months	18.64%	109.43	E	E1	MKC Accounting	9 years	RENT	48000.0	Source Verified	Dec-2011	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1072053	Borrower added on 12/16/11 > Downpayment for a car.<br>	car	Car Downpayment	900xx	CA	5.35	Jan-2007	660.0	664.0	2.0	0.0	NaN	4.0	8221.0	87.5%	4.0	f	3939.135294	3939.14	3000.00	939.14	0.00	0.00	0.00	Jan-2015	111.34	NaN	Dec-2014	689.0	685.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
8	1071795	NaN	5600.0	5600.0	5600.0	60 months	21.28%	152.39	F	F2	NaN	4 years	OWN	40000.0	Source Verified	Dec-2011	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1071795	Borrower added on 12/21/11 > I own a small home-based judgment collection business. I have 5 years experience collecting debts. I am now going from a home office to a small office. I also plan to buy a small debt portfolio (eg. $10K for $1M of debt) <br>My score is not A+ because I own my home and have no mortgage.<br>	small_business	Expand Business & Buy Debt Portfolio	958xx	CA	5.55	Apr-2004	675.0	679.0	2.0	0.0	NaN	11.0	5210.0	32.6%	13.0	f	647.500000	647.50	162.02	294.94	0.00	190.54	2.09	Apr-2012	152.39	NaN	Oct-2016	499.0	0.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
9	1071570	NaN	5375.0	5375.0	5350.0	60 months	12.69%	121.45	B	B5	Starbucks	< 1 year	RENT	15000.0	Verified	Dec-2011	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=1071570	Borrower added on 12/16/11 > I'm trying to build up my credit history. I live with my brother and have no car payment or credit cards. I am in community college and work full time. Im going to use the money to make some repairs around the house and get some maintenance done on my car.<br><br> Borrower added on 12/20/11 > $1000 down only $4375 to go. Thanks to everyone that invested so far, looking forward to surprising my brother with the fixes around the house.<br>	other	Building my credit history.	774xx	TX	18.08	Sep-2004	725.0	729.0	0.0	0.0	NaN	2.0	9279.0	36.5%	3.0	f	1484.590000	1477.70	673.48	533.42	0.00	277.69	2.52	Nov-2012	121.45	NaN	Dec-2016	504.0	500.0	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	url	desc	purpose	title	zip_code	addr_state	dti	delinq_2yrs	earliest_cr_line	fico_range_low	fico_range_high	inq_last_6mths	mths_since_last_record	open_acc	pub_rec	revol_util	total_acc	initial_list_status	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	recoveries	collection_recovery_fee	last_pymnt_d	last_pymnt_amnt	next_pymnt_d	last_credit_pull_d	last_fico_range_high	last_fico_range_low	collections_12_mths_ex_med	mths_since_last_major_derog	policy_code	application_type	annual_inc_joint	dti_joint	verification_status_joint	acc_now_delinq	tot_coll_amt	tot_cur_bal	open_acc_6m	open_act_il	open_il_12m	open_il_24m	mths_since_rcnt_il	total_bal_il	il_util	open_rv_12m	open_rv_24m	max_bal_bc	all_util	total_rev_hi_lim	inq_fi	total_cu_tl	inq_last_12m	acc_open_past_24mths	avg_cur_bal	bc_open_to_buy	bc_util	chargeoff_within_12_mths	delinq_amnt	mo_sin_old_il_acct	mo_sin_old_rev_tl_op	mo_sin_rcnt_rev_tl_op	mo_sin_rcnt_tl	mort_acc	mths_since_recent_bc	mths_since_recent_bc_dlq	mths_since_recent_inq	mths_since_recent_revol_delinq	num_accts_ever_120_pd	num_actv_bc_tl	num_actv_rev_tl	num_bc_sats	num_bc_tl	num_il_tl	num_op_rev_tl	num_rev_accts	num_rev_tl_bal_gt_0	num_sats	num_tl_120dpd_2m	num_tl_30dpd	num_tl_90g_dpd_24m	num_tl_op_past_12m	pct_tl_nvr_dlq	percent_bc_gt_75	pub_rec_bankruptcies	tax_liens	tot_hi_cred_lim	total_bal_ex_mort	total_bc_limit	total_il_high_credit_limit	revol_bal_joint	sec_app_fico_range_low	sec_app_fico_range_high	sec_app_earliest_cr_line	sec_app_inq_last_6mths	sec_app_mort_acc	sec_app_open_acc	sec_app_revol_util	sec_app_open_act_il	sec_app_num_rev_accts	sec_app_chargeoff_within_12_mths	sec_app_collections_12_mths_ex_med	sec_app_mths_since_last_major_derog	hardship_flag	hardship_type	hardship_reason	hardship_status	deferral_term	hardship_amount	hardship_start_date	hardship_end_date	payment_plan_start_date	hardship_length	hardship_dpd	hardship_loan_status	orig_projected_additional_accrued_interest	hardship_payoff_balance_amount	hardship_last_payment_amount	disbursement_method	debt_settlement_flag	debt_settlement_flag_date	settlement_status	settlement_date	settlement_amount	settlement_percentage	settlement_term
42526	81085	NaN	10500.0	10500.0	275.0	36 months	11.22%	344.87	C	C4	Town of Plainville	3 years	RENT	60000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=81085	Replace my existing roof.	other	roof	061xx	CT	19.50	NaN	NaN	740.0	744.0	NaN	NaN	NaN	NaN	NaN	NaN	f	11219.852169	293.86	10500.00	719.85	0.00	0.00	Aug-2008	0.00	Aug-2008	Jun-2007	744.0	740.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42527	77792	NaN	3000.0	3000.0	125.0	36 months	9.01%	95.42	B	B2	Tanks Tavern	< 1 year	RENT	35000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=77792	To pay off credit card and rent for the summer since I graduate at the end of the July.	other	Dep4774	665xx	KS	10.00	NaN	NaN	715.0	719.0	NaN	NaN	NaN	NaN	NaN	NaN	f	3434.999452	143.12	3000.00	435.00	0.00	0.00	Jul-2010	95.66	Jul-2010	Jun-2010	594.0	590.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42528	77757	NaN	3000.0	3000.0	0.0	36 months	9.33%	95.86	B	B3	NaN	< 1 year	OWN	20000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=77757	For home improvement	other	Home improvement	024xx	MA	10.00	NaN	NaN	710.0	714.0	NaN	NaN	NaN	NaN	NaN	NaN	f	3450.910526	0.00	3000.00	450.91	0.00	0.00	Jun-2010	96.77	Jul-2010	May-2007	714.0	710.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42529	74505	NaN	2000.0	2000.0	225.0	36 months	9.96%	64.50	B	B5	NaN	< 1 year	RENT	6000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=74505	I just need enough money to make it until the fall.	other	Summer stuff	325xx	FL	10.00	NaN	NaN	685.0	689.0	NaN	NaN	NaN	NaN	NaN	NaN	f	2322.408993	261.27	2000.00	322.41	0.00	0.00	Jul-2010	0.84	Aug-2010	Jul-2010	594.0	590.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42530	74323	NaN	6500.0	6500.0	0.0	36 months	9.64%	208.66	B	B4	Air Force	< 1 year	RENT	20000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=74323	I'm in the military and before I came in I racked up a large credit card debt. With all the different payments to keep track of and extra charges it is really hard to get out from under them. With just one payment a month it would make my life easier, so I can concentrate on my job.	other	One-Debt Loan	064xx	CT	10.00	NaN	NaN	710.0	714.0	NaN	NaN	NaN	NaN	NaN	NaN	f	7193.060000	0.00	1791.32	503.81	4897.93	1714.27	May-2008	208.65	Dec-2008	Aug-2018	534.0	530.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42531	73582	NaN	3500.0	3500.0	225.0	36 months	10.28%	113.39	C	C1	NaN	< 1 year	RENT	180000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=73582	I am getting married on July 28 and will need another $3,500 to pay the suppliers (catering, hotel, etc.). I would have never thought getting married was such an expensive proposition! Thanks for helping.	other	Wedding coming up	100xx	NY	10.00	NaN	NaN	685.0	689.0	NaN	NaN	NaN	NaN	NaN	NaN	f	3719.431070	239.11	3500.00	219.43	0.00	0.00	Mar-2008	0.00	Mar-2008	Feb-2013	819.0	815.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42532	72998	NaN	1000.0	1000.0	0.0	36 months	9.64%	32.11	B	B4	Halping hands company inc.	< 1 year	RENT	12000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=72998	I would like to buy some new furniture in my apartment and TV	other	delight	021xx	MA	10.00	NaN	NaN	695.0	699.0	NaN	NaN	NaN	NaN	NaN	NaN	f	1155.600899	0.00	1000.00	155.60	0.00	0.00	Jun-2010	32.41	Jul-2010	Sep-2014	784.0	780.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42533	72176	NaN	2525.0	2525.0	225.0	36 months	9.33%	80.69	B	B3	NaN	< 1 year	RENT	110000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=72176	I need to pay $2,100 for fixing my Volvo :) Any help appreciated!	other	Car repair bill	100xx	NY	10.00	NaN	NaN	710.0	714.0	NaN	NaN	NaN	NaN	NaN	NaN	f	2904.498829	258.82	2525.00	379.50	0.00	0.00	Jun-2010	82.03	Jul-2010	May-2007	714.0	710.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42534	71623	NaN	6500.0	6500.0	0.0	36 months	8.38%	204.84	A	A5	NaN	< 1 year	NONE	NaN	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=71623	Hi, I'm buying a used car. Anybody on facebook wants to finance me? Thanks	other	Buying a car	100xx	NY	4.00	NaN	NaN	740.0	744.0	NaN	NaN	NaN	NaN	NaN	NaN	f	7373.904962	0.00	6500.00	873.90	0.00	0.00	Jun-2010	205.32	Jul-2010	Aug-2007	724.0	720.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN
42535	70686	NaN	5000.0	5000.0	0.0	36 months	7.75%	156.11	A	A3	Homemaker	10+ years	MORTGAGE	70000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=70686	I need to make several improvements around the house - fix garage, fix back fencing, and misc other.	other	Aroundthehouse	068xx	CT	8.81	NaN	NaN	770.0	774.0	NaN	NaN	NaN	NaN	NaN	NaN	f	5619.762090	0.00	5000.00	619.76	0.00	0.00	Jun-2010	156.39	Jul-2010	Feb-2015	794.0	790.0	NaN	NaN	1.0	Individual	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Cash	N	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Most occurring characters

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Most frequent character per block

Most occurring characters

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Most frequent character per category

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Most frequent character per script

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Most frequent character per block

Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

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Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

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Most frequent character per script

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Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

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Most frequent character per script

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Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

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Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

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Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters